REPRO-Bench / 30 /replication_package /Log /Table4a_4b.log
anonymous-submission-acl2025's picture
add 30
57fe0a1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
name: <unnamed>
log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log
log type: text
opened on: 11 May 2021, 23:47:11
.
.
. use "$AnalysisData/bills_analysis_101-111_replication.dta"
(Bill-level data set. Each observation is an individual bill.)
. keep if private==0
(1,546 observations deleted)
.
. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=.
(1,036 missing values generated)
.
. gen byte sponsor_NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=.
(1,015 missing values generated)
. gen byte sponsor_MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=.
(1,015 missing values generated)
. gen byte sponsor_SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=.
(1,015 missing values generated)
. gen byte sponsor_WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=.
(1,015 missing values generated)
.
. replace sponsor_age=. if sponsor_age>100
(0 real changes made)
. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=.
(1,015 missing values generated)
. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=.
(1,015 missing values generated)
.
. gen lnpden=lnpop-lnarea
(1,015 missing values generated)
. gen absMV=abs(MV1_democrat)
(6,677 missing values generated)
.
. compress
variable sponsor_rookie was float now byte
(187,047 bytes saved)
.
. egen tag_bill = tag(v2 HRnumber)
. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
(1,015 missing values generated)
.
. gen int decade = 1980 if v2<=102
(50,563 missing values generated)
. replace decade=1990 if v2>=103 & v2<=107
(25,238 real changes made)
. replace decade=2000 if v2>=108
(25,325 real changes made)
.
. egen district_id = group(decade sponsor_state_abbrev sponsor_district)
(1,015 missing values generated)
.
.
. ** Balance tests
.
. label var sponsor_NE "North-East"
. label var sponsor_MW "Mid-West"
. label var sponsor_SO "South"
. label var sponsor_WE "West"
. replace pct_black=pct_black*100
(61,334 real changes made)
. label var pct_black "% Black"
. replace pct_urban=pct_urban*100
(61,020 real changes made)
. label var pct_urban "% Urban"
. replace pct_for_born=pct_for_born*100
(61,334 real changes made)
. label var pct_for_born "% Foreign"
. replace pct_age_over65=pct_age_over65*100
(61,334 real changes made)
. label var pct_age_over65 "% Over-65"
. label var lnpden "Ln Pop. Density"
. label var lag_demshare1 "Democratic t-1"
. label var DSpndPct "% Camp. Exp. D/R"
. label var sponsor_female "Female candidate"
.
. replace sponsor_age=. if sponsor_age>100
(0 real changes made)
. sort tag_sponsor sponsor_state_abbrev sponsor_district v2
. bysort tag_sponsor sponsor_state_abbrev sponsor_district: gen inc=sponsor_name[_n-1]==sponsor_name if sponsor_name!="" & sponsor_name[_n-1]!="" & tag_sponsor==1
(58,025 missing values generated)
. bysort sponsor_state_abbrev sponsor_district v2 sponsor_name: egen sponsor_incumbent=max(inc)
(7,016 missing values generated)
. replace sponsor_incumbent=. if v2==103 | v2==108
(9,949 real changes made, 9,949 to missing)
. drop inc
.
. label var sponsor_age "Age"
. label var sponsor_tenure_run "Terms in office"
. label var sponsor_rookie "Rookie"
. label var sponsor_incumbent "Incumbent"
. label var sponsor_democrat "Democrat"
. label var comc "Chair committee"
. label var comr "Rank committee"
. label var leader "Chair/Rank committee"
. label var dwnom1 "DW-nominate"
. label var borninstate "Born in State"
. label var agestart "Entry age"
. label var anycoll "Any college"
. label var ivycoll "Ivy-league college"
. label var occ0 "No occupation"
. label var occ1 "Education"
. label var occ2 "Lawyer"
. label var occ3 "Professional"
. label var occ4 "Business"
. label var occ5 "Agriculture"
. label var occ6 "Other"
. label var black "Black"
.
. local if1 = "if tag_sponsor==1"
. local if2 = "if tag_sponsor==1 & sponsor_party==100"
. local if3 = "if tag_sponsor==1 & sponsor_party==200"
. local Party1 = "ALL"
. local Party2 = "D"
. local Party3 = "R"
.
. forvalues j = 1/3 {
2. foreach var of varlist sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden lag_demshare1 DSpndPct /*
> */ absMV sponsor_democrat sponsor_tenure_run sponsor_rookie sponsor_age leader borninstate ivycoll occ0 occ1 occ2 occ3 occ4 occ6 black {
3. local ct: var label `var'
4. sum `var' `if`j'' & sponsor_female==1
5. scalar S1_`var' = r(sd)
6.
. sum `var' `if`j'' & sponsor_female==0
7. scalar S0_`var' = r(sd)
8.
. rdbwselect_2014 `var' MV1_female `if`j'', c(0) kernel(uniform)
9. local band = e(h_CCT)
10.
. forvalues i=1/5 {
11. if `i'==1 {
12. * 1) OLS balancing: simple diff. in means
. reg `var' sponsor_female `if`j'', robust cluster(group_sponsor)
13. scalar b_`var'_`j'_`i' = _b[sponsor_female]
14. scalar se_`var'_`j'_`i' = _se[sponsor_female]
15. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i'
16. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2)
17. }
18. else if `i'==2 {
19. * 2) RD: optimal bandwidth
. reg `var' sponsor_female MV1_female femaleXMV1_female `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor)
20. scalar b_`var'_`j'_`i' = _b[sponsor_female]
21. scalar se_`var'_`j'_`i' = _se[sponsor_female]
22. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i'
23. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2)
24. }
25. else if `i'==3 {
26. * 3) RD + Pscore matching: pscore=f(district)
. qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden `if`j''
> & abs(MV1_female)<=`band'
27. predict pscore if e(sample)==1
28. gen wt = 1/pscore if sponsor_female==1
29. replace wt =1/(1-pscore) if sponsor_female==0
30. reg `var' sponsor_female MV1_female femaleXMV1_female [aw=wt] `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor)
31. scalar b_`var'_`j'_`i' = _b[sponsor_female]
32. scalar se_`var'_`j'_`i' = _se[sponsor_female]
33. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i'
34. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2)
35. drop pscore wt
36. }
37. else if `i'==4 {
38. * 4) Pscore matching: pscore=f(district, absMV), sample=all
. qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden absMV `
> if`j''
39. predict pscore if e(sample)==1
40. gen wt = 1/pscore if sponsor_female==1
41. replace wt =1/(1-pscore) if sponsor_female==0
42. reg `var' sponsor_female [aw=wt] `if`j'', robust cluster(group_sponsor)
43. scalar b_`var'_`j'_`i' = _b[sponsor_female]
44. scalar se_`var'_`j'_`i' = _se[sponsor_female]
45. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i'
46. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2)
47. drop pscore wt
48. }
49. }
50. }
51. }
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 590 .1847458 .3884205 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 4,201 .2059034 .4044083 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.97306 30.09204 .5640383
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 1.52
Prob > F = 0.2175
R-squared = 0.0003
Root MSE = .40248
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0211576 .0171558 -1.23 0.218 -.0547909 .0124758
_cons | .2059034 .00624 33.00 0.000 .1936701 .2181366
--------------------------------------------------------------------------------
Linear regression Number of obs = 267
F(3, 266) = 1.40
Prob > F = 0.2436
R-squared = 0.0119
Root MSE = .40506
(Std. Err. adjusted for 267 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0014856 .1009649 -0.01 0.988 -.2002778 .1973065
MV1_female | -.0011695 .0063069 -0.19 0.853 -.0135873 .0112484
femaleXMV1_female | -.0063974 .0094864 -0.67 0.501 -.0250754 .0122806
_cons | .22432 .0656387 3.42 0.001 .0950824 .3535575
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,082 missing values generated)
(62,248 missing values generated)
(166 real changes made)
(sum of wgt is 529.9520304203033)
Linear regression Number of obs = 267
F(3, 266) = 0.76
Prob > F = 0.5196
R-squared = 0.0120
Root MSE = .40671
(Std. Err. adjusted for 267 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1277092 .1157146 1.10 0.271 -.100124 .3555423
MV1_female | -.0017603 .0058784 -0.30 0.765 -.0133345 .0098138
femaleXMV1_female | -.0107324 .0104399 -1.03 0.305 -.0312877 .009823
_cons | .1889607 .0601343 3.14 0.002 .070561 .3073605
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.59
Prob > F = 0.4431
R-squared = 0.0006
Root MSE = .39904
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0194356 .0253376 0.77 0.443 -.0302388 .06911
_cons | .1890386 .0062934 30.04 0.000 .1767005 .2013768
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 590 .2118644 .408976 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 4,201 .2435134 .4292534 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.80159 34.41667 .5753488
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 3.06
Prob > F = 0.0801
R-squared = 0.0006
Root MSE = .42681
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.031649 .0180831 -1.75 0.080 -.0671003 .0038022
_cons | .2435134 .0066233 36.77 0.000 .2305287 .2564982
--------------------------------------------------------------------------------
Linear regression Number of obs = 312
F(3, 311) = 2.14
Prob > F = 0.0949
R-squared = 0.0188
Root MSE = .42208
(Std. Err. adjusted for 312 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1294546 .0966262 -1.34 0.181 -.3195784 .0606692
MV1_female | .0022571 .005415 0.42 0.677 -.0083975 .0129118
femaleXMV1_female | -.0034109 .0081716 -0.42 0.677 -.0194894 .0126677
_cons | .3019173 .0660566 4.57 0.000 .1719428 .4318917
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,037 missing values generated)
(62,231 missing values generated)
(194 real changes made)
(sum of wgt is 621.3812042474747)
Linear regression Number of obs = 312
F(3, 311) = 0.29
Prob > F = 0.8308
R-squared = 0.0044
Root MSE = .417
(Std. Err. adjusted for 312 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0259511 .1144046 0.23 0.821 -.1991538 .251056
MV1_female | .001719 .0047194 0.36 0.716 -.0075669 .011005
femaleXMV1_female | -.0078704 .0094493 -0.83 0.406 -.0264631 .0107223
_cons | .2479622 .058078 4.27 0.000 .1336867 .3622377
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.18
Prob > F = 0.6694
R-squared = 0.0001
Root MSE = .43103
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0102534 .0240164 -0.43 0.669 -.0573376 .0368308
_cons | .2516138 .0069762 36.07 0.000 .2379369 .2652907
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 590 .2271186 .4193254 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 4,201 .3572959 .4792601 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.8461 34.61012 .5445258
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 48.10
Prob > F = 0.0000
R-squared = 0.0081
Root MSE = .4723
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1301772 .0187704 -6.94 0.000 -.1669758 -.0933787
_cons | .3572959 .0073949 48.32 0.000 .3427984 .3717933
--------------------------------------------------------------------------------
Linear regression Number of obs = 293
F(3, 292) = 1.52
Prob > F = 0.2083
R-squared = 0.0154
Root MSE = .42605
(Std. Err. adjusted for 293 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0970626 .0983748 -0.99 0.325 -.2906761 .0965509
MV1_female | -.0050362 .0061888 -0.81 0.416 -.0172165 .0071442
femaleXMV1_female | .0189053 .0095864 1.97 0.050 .0000381 .0377726
_cons | .195326 .0666654 2.93 0.004 .0641205 .3265316
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,056 missing values generated)
(62,236 missing values generated)
(180 real changes made)
(sum of wgt is 583.7498970031738)
Linear regression Number of obs = 293
F(3, 292) = 1.24
Prob > F = 0.2969
R-squared = 0.0197
Root MSE = .4307
(Std. Err. adjusted for 293 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0873786 .105195 -0.83 0.407 -.2944151 .1196579
MV1_female | -.0041991 .0063336 -0.66 0.508 -.0166643 .0082662
femaleXMV1_female | .0188728 .01031 1.83 0.068 -.0014185 .0391641
_cons | .2017628 .0685887 2.94 0.004 .066772 .3367536
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.18
Prob > F = 0.6674
R-squared = 0.0002
Root MSE = .47001
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0125666 .0292458 -0.43 0.667 -.0699031 .0447699
_cons | .3355519 .0075488 44.45 0.000 .3207524 .3503514
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 590 .3762712 .4848604 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 4,201 .1932873 .3949234 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.0539 31.58775 .6032052
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 76.96
Prob > F = 0.0000
R-squared = 0.0214
Root MSE = .40706
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1829839 .0208586 8.77 0.000 .1420915 .2238763
_cons | .1932873 .0060936 31.72 0.000 .181341 .2052336
--------------------------------------------------------------------------------
Linear regression Number of obs = 296
F(3, 295) = 4.10
Prob > F = 0.0072
R-squared = 0.0445
Root MSE = .45817
(Std. Err. adjusted for 296 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2783948 .1137167 2.45 0.015 .054596 .5021935
MV1_female | .0018047 .0057936 0.31 0.756 -.0095973 .0132067
femaleXMV1_female | -.0136539 .0098746 -1.38 0.168 -.0330876 .0057797
_cons | .2650371 .066303 4.00 0.000 .1345504 .3955239
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,053 missing values generated)
(62,235 missing values generated)
(182 real changes made)
(sum of wgt is 589.5530579090118)
Linear regression Number of obs = 296
F(3, 295) = 0.47
Prob > F = 0.7023
R-squared = 0.0053
Root MSE = .46806
(Std. Err. adjusted for 296 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0612395 .1169746 0.52 0.601 -.168971 .2914499
MV1_female | .0021875 .0068236 0.32 0.749 -.0112417 .0156167
femaleXMV1_female | -.0104536 .0099396 -1.05 0.294 -.0300153 .009108
_cons | .3389237 .0782283 4.33 0.000 .1849674 .49288
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.03
Prob > F = 0.8662
R-squared = 0.0000
Root MSE = .418
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0033844 .0200839 0.17 0.866 -.0359902 .042759
_cons | .2237957 .0070159 31.90 0.000 .2100411 .2375503
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 590 13.63385 16.69872 .1025148 70.98532
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 4,201 11.51054 15.04212 .0669269 92.06912
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.41048 41.32455 .4455096
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 8.57
Prob > F = 0.0034
R-squared = 0.0021
Root MSE = 15.256
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 2.123309 .7251813 2.93 0.003 .7016201 3.544997
_cons | 11.51054 .2320981 49.59 0.000 11.05552 11.96556
--------------------------------------------------------------------------------
Linear regression Number of obs = 288
F(3, 287) = 0.97
Prob > F = 0.4056
R-squared = 0.0065
Root MSE = 8.2718
(Std. Err. adjusted for 288 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.740382 1.574145 -1.11 0.270 -4.838715 1.35795
MV1_female | -.0306046 .1070566 -0.29 0.775 -.2413203 .1801111
femaleXMV1_female | .2198252 .1645246 1.34 0.183 -.1040027 .543653
_cons | 6.757022 1.082057 6.24 0.000 4.627248 8.886796
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,061 missing values generated)
(62,238 missing values generated)
(177 real changes made)
(sum of wgt is 572.8330496549606)
Linear regression Number of obs = 288
F(3, 287) = 0.57
Prob > F = 0.6331
R-squared = 0.0041
Root MSE = 8.0678
(Std. Err. adjusted for 288 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.270747 1.53766 -0.83 0.409 -4.297268 1.755773
MV1_female | .0018997 .1057866 0.02 0.986 -.2063162 .2101156
femaleXMV1_female | .1305011 .1474107 0.89 0.377 -.1596421 .4206442
_cons | 6.950619 1.075816 6.46 0.000 4.833129 9.068109
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.95
Prob > F = 0.3304
R-squared = 0.0005
Root MSE = 14.569
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.6636069 .6817737 -0.97 0.330 -2.000226 .6730125
_cons | 11.24369 .2472338 45.48 0.000 10.75899 11.72839
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 590 84.00371 21.49034 0 100
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 4,201 69.0334 27.46602 0 100.0476
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 26.7024 45.52345 .5865637
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 233.11
Prob > F = 0.0000
R-squared = 0.0326
Root MSE = 26.803
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 14.97031 .980497 15.27 0.000 13.04809 16.89254
_cons | 69.0334 .4237974 162.89 0.000 68.20256 69.86424
--------------------------------------------------------------------------------
Linear regression Number of obs = 439
F(3, 438) = 2.83
Prob > F = 0.0381
R-squared = 0.0175
Root MSE = 26.175
(Std. Err. adjusted for 439 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 3.281066 5.153304 0.64 0.525 -6.847212 13.40934
MV1_female | .1075782 .202803 0.53 0.596 -.2910098 .5061663
femaleXMV1_female | .0519479 .3216224 0.16 0.872 -.5801671 .684063
_cons | 69.73375 3.352684 20.80 0.000 63.14441 76.3231
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,910 missing values generated)
(62,190 missing values generated)
(280 real changes made)
(sum of wgt is 875.3006076812744)
Linear regression Number of obs = 439
F(3, 438) = 0.32
Prob > F = 0.8096
R-squared = 0.0020
Root MSE = 25.686
(Std. Err. adjusted for 439 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.437037 5.341232 -0.46 0.648 -12.93467 8.060594
MV1_female | .1519016 .1940388 0.78 0.434 -.2294612 .5332644
femaleXMV1_female | -.0474775 .3294427 -0.14 0.885 -.6949625 .6000075
_cons | 73.04314 3.147035 23.21 0.000 66.85797 79.2283
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.59
Prob > F = 0.4419
R-squared = 0.0006
Root MSE = 26.343
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.252642 1.628918 0.77 0.442 -1.940856 4.44614
_cons | 70.41989 .4384158 160.62 0.000 69.56037 71.27941
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 590 14.87431 13.82462 .5351791 56.85267
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 4,201 7.907637 9.064049 .2187925 58.51513
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 23.18388 40.37474 .5742174
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 141.47
Prob > F = 0.0000
R-squared = 0.0520
Root MSE = 9.7754
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 6.966671 .5857289 11.89 0.000 5.818373 8.114968
_cons | 7.907637 .1398572 56.54 0.000 7.633452 8.181821
--------------------------------------------------------------------------------
Linear regression Number of obs = 385
F(3, 384) = 1.46
Prob > F = 0.2239
R-squared = 0.0154
Root MSE = 7.7236
(Std. Err. adjusted for 385 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .8207545 1.670629 0.49 0.624 -2.463972 4.105481
MV1_female | -.0647962 .0665242 -0.97 0.331 -.1955935 .0660012
femaleXMV1_female | .1911953 .1413424 1.35 0.177 -.0867066 .4690972
_cons | 6.593307 .8693572 7.58 0.000 4.884011 8.302604
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,964 missing values generated)
(62,207 missing values generated)
(243 real changes made)
(sum of wgt is 766.3964701890945)
Linear regression Number of obs = 385
F(3, 384) = 0.67
Prob > F = 0.5692
R-squared = 0.0054
Root MSE = 7.7013
(Std. Err. adjusted for 385 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .459085 1.572755 0.29 0.771 -2.633204 3.551374
MV1_female | -.0917597 .0744493 -1.23 0.219 -.2381391 .0546196
femaleXMV1_female | .1621763 .1291455 1.26 0.210 -.0917445 .416097
_cons | 6.875599 .9263052 7.42 0.000 5.054334 8.696865
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.01
Prob > F = 0.9343
R-squared = 0.0000
Root MSE = 9.3246
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0325844 .3952228 -0.08 0.934 -.8074198 .7422511
_cons | 8.233577 .1642389 50.13 0.000 7.911587 8.555568
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 590 12.57002 4.07163 5.899971 38.99562
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 4,201 13.61787 4.208184 4.116681 43.80611
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 23.56985 48.02239 .4908097
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 34.02
Prob > F = 0.0000
R-squared = 0.0067
Root MSE = 4.1916
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.047848 .1796631 -5.83 0.000 -1.40007 -.6956256
_cons | 13.61787 .0649318 209.73 0.000 13.49057 13.74516
--------------------------------------------------------------------------------
Linear regression Number of obs = 390
F(3, 389) = 0.83
Prob > F = 0.4757
R-squared = 0.0078
Root MSE = 4.3492
(Std. Err. adjusted for 390 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.223838 .8995622 -1.36 0.174 -2.99245 .5447741
MV1_female | .0209147 .0421893 0.50 0.620 -.0620329 .1038624
femaleXMV1_female | .0665491 .0725622 0.92 0.360 -.0761141 .2092124
_cons | 13.64047 .5914245 23.06 0.000 12.47768 14.80325
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,959 missing values generated)
(62,206 missing values generated)
(247 real changes made)
(sum of wgt is 776.4072372913361)
Linear regression Number of obs = 390
F(3, 389) = 0.66
Prob > F = 0.5769
R-squared = 0.0061
Root MSE = 4.382
(Std. Err. adjusted for 390 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.17669 .9568968 -1.23 0.220 -3.058026 .7046469
MV1_female | .0293236 .0493476 0.59 0.553 -.0676977 .126345
femaleXMV1_female | .0351716 .071299 0.49 0.622 -.105008 .1753512
_cons | 13.75082 .7047421 19.51 0.000 12.36524 15.1364
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.10
Prob > F = 0.7466
R-squared = 0.0001
Root MSE = 4.1221
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0753855 .23327 0.32 0.747 -.381941 .532712
_cons | 13.6203 .0687954 197.98 0.000 13.48543 13.75518
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 590 10.26496 .340084 9.42521 11.06974
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 4,201 10.2084 .3202676 9.040027 11.05996
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.70746 34.72323 .5387593
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 14.53
Prob > F = 0.0001
R-squared = 0.0033
Root MSE = .32277
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0565601 .0148391 3.81 0.000 .0274687 .0856515
_cons | 10.2084 .0049417 2065.77 0.000 10.19871 10.21808
--------------------------------------------------------------------------------
Linear regression Number of obs = 291
F(3, 290) = 0.52
Prob > F = 0.6667
R-squared = 0.0066
Root MSE = .32293
(Std. Err. adjusted for 291 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0434794 .082332 0.53 0.598 -.1185646 .2055234
MV1_female | .0018953 .0041904 0.45 0.651 -.006352 .0101427
femaleXMV1_female | -.0091373 .0075336 -1.21 0.226 -.0239648 .0056902
_cons | 10.35004 .0465109 222.53 0.000 10.2585 10.44158
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,058 missing values generated)
(62,237 missing values generated)
(179 real changes made)
(sum of wgt is 579.0895062685013)
Linear regression Number of obs = 291
F(3, 290) = 0.38
Prob > F = 0.7651
R-squared = 0.0067
Root MSE = .3302
(Std. Err. adjusted for 291 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0517682 .08695 0.60 0.552 -.1193649 .2229012
MV1_female | .0012578 .004169 0.30 0.763 -.0069475 .009463
femaleXMV1_female | -.0080531 .007819 -1.03 0.304 -.0234423 .0073362
_cons | 10.34816 .0455105 227.38 0.000 10.25858 10.43773
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.33
Prob > F = 0.5674
R-squared = 0.0003
Root MSE = .33029
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0110588 .0193356 0.57 0.567 -.0268486 .0489663
_cons | 10.21758 .0053022 1927.05 0.000 10.20718 10.22797
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 590 .0413454 7.527808 -13.14081 10.70349
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 4,201 .5482409 7.309131 -14.67538 11.20875
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 24.42462 41.68033 .5859987
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 2.37
Prob > F = 0.1241
R-squared = 0.0005
Root MSE = 7.3364
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.5068955 .3296113 -1.54 0.124 -1.153085 .1392942
_cons | .5482409 .112779 4.86 0.000 .3271422 .7693396
--------------------------------------------------------------------------------
Linear regression Number of obs = 403
F(3, 402) = 1.17
Prob > F = 0.3225
R-squared = 0.0085
Root MSE = 7.4636
(Std. Err. adjusted for 403 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2628684 1.533142 0.17 0.864 -2.751109 3.276846
MV1_female | .0950597 .0652671 1.46 0.146 -.0332478 .2233671
femaleXMV1_female | -.1722115 .1067072 -1.61 0.107 -.3819853 .0375623
_cons | 1.054055 .9651433 1.09 0.275 -.8433038 2.951413
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,946 missing values generated)
(62,202 missing values generated)
(256 real changes made)
(sum of wgt is 802.8636893033981)
Linear regression Number of obs = 403
F(3, 402) = 0.87
Prob > F = 0.4569
R-squared = 0.0068
Root MSE = 7.5113
(Std. Err. adjusted for 403 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2020271 1.598286 -0.13 0.899 -3.34407 2.940015
MV1_female | .0895684 .0682557 1.31 0.190 -.0446143 .2237511
femaleXMV1_female | -.1744804 .1131364 -1.54 0.124 -.3968933 .0479324
_cons | 1.264938 1.007892 1.26 0.210 -.7164596 3.246336
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 0.01
Prob > F = 0.9345
R-squared = 0.0000
Root MSE = 7.2767
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0315801 .3841947 -0.08 0.934 -.784795 .7216349
_cons | .6217099 .1195756 5.20 0.000 .3872815 .8561383
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 416 .5802717 .1987205 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 2,793 .5060043 .2233631 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 641
----------------------+---------------------- NN matches = 3
Number of obs | 359 282 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 79.922
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.21253 32.22954 .5340606
----------------------------------------------
Linear regression Number of obs = 3,209
F(1, 3208) = 48.97
Prob > F = 0.0000
R-squared = 0.0127
Root MSE = .22033
(Std. Err. adjusted for 3,209 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0742674 .0106125 7.00 0.000 .0534594 .0950754
_cons | .5060043 .004227 119.71 0.000 .4977164 .5142922
--------------------------------------------------------------------------------
Linear regression Number of obs = 207
F(3, 206) = 3.32
Prob > F = 0.0208
R-squared = 0.0346
Root MSE = .13593
(Std. Err. adjusted for 207 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0259688 .037201 0.70 0.486 -.0473746 .0993122
MV1_female | .0011605 .0028024 0.41 0.679 -.0043645 .0066855
femaleXMV1_female | .0004845 .0035081 0.14 0.890 -.006432 .0074009
_cons | .4492519 .0309483 14.52 0.000 .3882358 .510268
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,077 missing values generated)
(62,247 missing values generated)
(170 real changes made)
(sum of wgt is 415.1722078323364)
Linear regression Number of obs = 207
F(3, 206) = 2.59
Prob > F = 0.0542
R-squared = 0.0369
Root MSE = .12807
(Std. Err. adjusted for 207 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0331418 .0414199 0.80 0.425 -.0485195 .114803
MV1_female | .0011491 .0027484 0.42 0.676 -.0042695 .0065677
femaleXMV1_female | -.0005272 .0038647 -0.14 0.892 -.0081466 .0070923
_cons | .4497633 .0293691 15.31 0.000 .3918608 .5076658
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 5,901.8450615406)
Linear regression Number of obs = 2,979
F(1, 2978) = 0.13
Prob > F = 0.7197
R-squared = 0.0001
Root MSE = .2072
(Std. Err. adjusted for 2,979 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0049179 .0137012 0.36 0.720 -.0219468 .0317826
_cons | .5102525 .0042633 119.68 0.000 .5018931 .5186119
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 590 61.35517 31.3759 0 100
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 4,201 51.00944 33.14232 0 100
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 10.96658 23.27847 .471104
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 55.52
Prob > F = 0.0000
R-squared = 0.0106
Root MSE = 32.93
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 10.34573 1.388501 7.45 0.000 7.623631 13.06783
_cons | 51.00944 .5113822 99.75 0.000 50.0069 52.01199
--------------------------------------------------------------------------------
Linear regression Number of obs = 161
F(3, 160) = 1.04
Prob > F = 0.3780
R-squared = 0.0198
Root MSE = 16.811
(Std. Err. adjusted for 161 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 2.468315 4.591958 0.54 0.592 -6.60035 11.53698
MV1_female | .3462252 .5111906 0.68 0.499 -.6633258 1.355776
femaleXMV1_female | -.2979342 .8014705 -0.37 0.711 -1.880759 1.284891
_cons | 49.0777 2.908476 16.87 0.000 43.33374 54.82165
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,188 missing values generated)
(62,282 missing values generated)
(94 real changes made)
(sum of wgt is 319.9288716316223)
Linear regression Number of obs = 161
F(3, 160) = 1.10
Prob > F = 0.3490
R-squared = 0.0237
Root MSE = 16.915
(Std. Err. adjusted for 161 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 2.352512 5.18104 0.45 0.650 -7.879533 12.58456
MV1_female | .4452749 .5050518 0.88 0.379 -.5521527 1.442703
femaleXMV1_female | -.4018554 .8913928 -0.45 0.653 -2.162268 1.358558
_cons | 49.75662 2.748748 18.10 0.000 44.32811 55.18512
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 1.42
Prob > F = 0.2327
R-squared = 0.0013
Root MSE = 33.842
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 2.399998 2.010898 1.19 0.233 -1.542373 6.342369
_cons | 51.10635 .554345 92.19 0.000 50.01955 52.19314
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 540 .3547234 .2401786 .0002862 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 3,863 .366315 .2633881 6.32e-06 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 7.05053 12.8683 .5478993
----------------------------------------------
Linear regression Number of obs = 4,403
F(1, 4402) = 1.08
Prob > F = 0.2992
R-squared = 0.0002
Root MSE = .26066
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0115915 .0111641 -1.04 0.299 -.0334789 .0102958
_cons | .366315 .0042381 86.43 0.000 .3580061 .3746239
--------------------------------------------------------------------------------
Linear regression Number of obs = 107
F(0, 106) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 107 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.30e-10 2.12e-10 -1.08 0.281 -6.51e-10 1.91e-10
MV1_female | -.01 4.12e-11 -2.4e+08 0.000 -.01 -.01
femaleXMV1_female | .02 6.14e-11 3.3e+08 0.000 .02 .02
_cons | 3.07e-10 1.64e-10 1.87 0.065 -1.88e-11 6.32e-10
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,247 missing values generated)
(62,309 missing values generated)
(62 real changes made)
(sum of wgt is 201.3423994779587)
Linear regression Number of obs = 102
F(0, 101) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 102 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.83e-10 2.46e-10 -1.15 0.252 -7.70e-10 2.04e-10
MV1_female | -.01 5.12e-11 -2.0e+08 0.000 -.01 -.01
femaleXMV1_female | .02 7.41e-11 2.7e+08 0.000 .02 .02
_cons | 4.11e-10 1.83e-10 2.25 0.027 4.89e-11 7.73e-10
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 2.13
Prob > F = 0.1444
R-squared = 0.0018
Root MSE = .2496
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0211365 .0144774 -1.46 0.144 -.0495195 .0072464
_cons | .363797 .0041582 87.49 0.000 .3556448 .3719492
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 590 .6881356 .4636479 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 4,198 .5 .5000596 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.64652 30.24592 .5834349
----------------------------------------------
Linear regression Number of obs = 4,788
F(1, 4787) = 83.58
Prob > F = 0.0000
R-squared = 0.0153
Root MSE = .49572
(Std. Err. adjusted for 4,788 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1881356 .0205783 9.14 0.000 .1477927 .2284785
_cons | .5 .0077186 64.78 0.000 .484868 .515132
--------------------------------------------------------------------------------
Linear regression Number of obs = 278
F(3, 277) = 11.57
Prob > F = 0.0000
R-squared = 0.1131
Root MSE = .46832
(Std. Err. adjusted for 278 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .4207765 .1160054 3.63 0.000 .1924123 .6491407
MV1_female | .001577 .0064861 0.24 0.808 -.0111913 .0143454
femaleXMV1_female | -.0130932 .011258 -1.16 0.246 -.0352553 .0090689
_cons | .3096403 .0708456 4.37 0.000 .1701761 .4491045
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,071 missing values generated)
(62,244 missing values generated)
(173 real changes made)
(sum of wgt is 551.805853843689)
Linear regression Number of obs = 278
F(3, 277) = 13.14
Prob > F = 0.0000
R-squared = 0.1402
Root MSE = .46575
(Std. Err. adjusted for 278 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .4923476 .1181763 4.17 0.000 .2597099 .7249852
MV1_female | .0029888 .0069773 0.43 0.669 -.0107464 .016724
femaleXMV1_female | -.0236691 .0116649 -2.03 0.043 -.0466322 -.000706
_cons | .3224849 .0764893 4.22 0.000 .1719107 .4730591
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,805.42208445072)
Linear regression Number of obs = 4,400
F(1, 4399) = 0.93
Prob > F = 0.3341
R-squared = 0.0008
Root MSE = .49955
(Std. Err. adjusted for 4,400 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .028446 .0294457 0.97 0.334 -.0292823 .0861743
_cons | .5046778 .0080958 62.34 0.000 .4888059 .5205496
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 590 4.19322 2.779983 1 14
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 4,201 5.634373 3.838477 1 20
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.7383 30.88887 .5418878
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 125.19
Prob > F = 0.0000
R-squared = 0.0159
Root MSE = 3.7246
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.441152 .128802 -11.19 0.000 -1.693663 -1.188641
_cons | 5.634373 .0592272 95.13 0.000 5.51826 5.750485
--------------------------------------------------------------------------------
Linear regression Number of obs = 264
F(3, 263) = 7.35
Prob > F = 0.0001
R-squared = 0.0661
Root MSE = 3.5268
(Std. Err. adjusted for 264 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.341161 .7721429 -1.74 0.084 -2.86153 .1792073
MV1_female | -.1181062 .063374 -1.86 0.063 -.2428912 .0066787
femaleXMV1_female | .2249661 .0815001 2.76 0.006 .0644903 .3854419
_cons | 3.170439 .6149297 5.16 0.000 1.959627 4.381251
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,085 missing values generated)
(62,249 missing values generated)
(164 real changes made)
(sum of wgt is 524.2372331619263)
Linear regression Number of obs = 264
F(3, 263) = 7.64
Prob > F = 0.0001
R-squared = 0.0776
Root MSE = 3.3267
(Std. Err. adjusted for 264 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.490594 .8397524 -1.78 0.077 -3.144087 .1628999
MV1_female | -.1157798 .0684275 -1.69 0.092 -.2505153 .0189557
femaleXMV1_female | .2420935 .0851966 2.84 0.005 .0743392 .4098478
_cons | 3.165581 .695503 4.55 0.000 1.796119 4.535044
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 85.77
Prob > F = 0.0000
R-squared = 0.0463
Root MSE = 3.3063
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.457068 .1573299 -9.26 0.000 -1.765513 -1.148622
_cons | 5.594564 .0625895 89.39 0.000 5.471857 5.717271
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 590 .1881356 .391152 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 4,201 .1311592 .3376146 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 25.67577 40.0236 .6415157
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 11.35
Prob > F = 0.0008
R-squared = 0.0029
Root MSE = .34465
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0569763 .0169153 3.37 0.001 .0238146 .0901381
_cons | .1311592 .0052094 25.18 0.000 .1209465 .141372
--------------------------------------------------------------------------------
Linear regression Number of obs = 420
F(3, 419) = 17.61
Prob > F = 0.0000
R-squared = 0.1067
Root MSE = .44176
(Std. Err. adjusted for 420 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0937619 .098899 0.95 0.344 -.1006381 .2881618
MV1_female | .0190762 .0035625 5.35 0.000 .0120736 .0260789
femaleXMV1_female | -.0406197 .006021 -6.75 0.000 -.0524549 -.0287846
_cons | .5490272 .0617839 8.89 0.000 .4275822 .6704722
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,929 missing values generated)
(62,198 missing values generated)
(269 real changes made)
(sum of wgt is 837.355175614357)
Linear regression Number of obs = 420
F(3, 419) = 18.74
Prob > F = 0.0000
R-squared = 0.1193
Root MSE = .44252
(Std. Err. adjusted for 420 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1100231 .102372 1.07 0.283 -.0912036 .3112497
MV1_female | .0196699 .0035809 5.49 0.000 .0126311 .0267086
femaleXMV1_female | -.0424209 .0061943 -6.85 0.000 -.0545967 -.0302451
_cons | .5511389 .0630604 8.74 0.000 .4271847 .675093
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 4.98
Prob > F = 0.0257
R-squared = 0.0039
Root MSE = .36532
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0459168 .0205761 2.23 0.026 .0055774 .0862563
_cons | .1363342 .0055515 24.56 0.000 .1254504 .147218
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 589 55.64516 9.380001 32 80
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 4,199 53.73065 10.14291 27 89
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 897
----------------------+---------------------- NN matches = 3
Number of obs | 500 397 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 14.60984 26.25605 .556437
----------------------------------------------
Linear regression Number of obs = 4,788
F(1, 4787) = 21.10
Prob > F = 0.0000
R-squared = 0.0039
Root MSE = 10.052
(Std. Err. adjusted for 4,788 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.914511 .4167651 4.59 0.000 1.09746 2.731562
_cons | 53.73065 .1565412 343.24 0.000 53.42376 54.03754
--------------------------------------------------------------------------------
Linear regression Number of obs = 217
F(3, 216) = 1.64
Prob > F = 0.1809
R-squared = 0.0231
Root MSE = 10.221
(Std. Err. adjusted for 217 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 1.769677 2.522529 0.70 0.484 -3.202248 6.741601
MV1_female | -.1386686 .2226305 -0.62 0.534 -.577475 .3001378
femaleXMV1_female | .4004329 .3097798 1.29 0.198 -.2101455 1.011011
_cons | 49.60412 1.902757 26.07 0.000 45.85377 53.35447
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,131 missing values generated)
(62,262 missing values generated)
(131 real changes made)
(sum of wgt is 432.0447381734848)
Linear regression Number of obs = 217
F(3, 216) = 2.29
Prob > F = 0.0798
R-squared = 0.0363
Root MSE = 10.084
(Std. Err. adjusted for 217 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0250116 2.793757 -0.01 0.993 -5.531527 5.481504
MV1_female | -.0999666 .2362951 -0.42 0.673 -.565706 .3657728
femaleXMV1_female | .5646199 .321382 1.76 0.080 -.0688264 1.198066
_cons | 49.64366 2.164894 22.93 0.000 45.37664 53.91068
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,800.2160358429)
Linear regression Number of obs = 4,400
F(1, 4399) = 5.38
Prob > F = 0.0204
R-squared = 0.0048
Root MSE = 9.8046
(Std. Err. adjusted for 4,400 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.362438 .5875282 2.32 0.020 .2105872 2.514289
_cons | 53.64582 .1649492 325.23 0.000 53.32243 53.9692
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 590 .0372881 .1896277 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 4,201 .1125922 .3161313 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 23.01663 47.75025 .4820211
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 66.98
Prob > F = 0.0000
R-squared = 0.0066
Root MSE = .30343
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0753041 .0092012 -8.18 0.000 -.0933427 -.0572655
_cons | .1125922 .0048779 23.08 0.000 .1030294 .1221551
--------------------------------------------------------------------------------
Linear regression Number of obs = 380
F(3, 379) = 5.57
Prob > F = 0.0010
R-squared = 0.0267
Root MSE = .23163
(Std. Err. adjusted for 380 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0290357 .0336213 -0.86 0.388 -.0951433 .0370719
MV1_female | -.0044699 .0026508 -1.69 0.093 -.0096821 .0007423
femaleXMV1_female | .0066471 .0030718 2.16 0.031 .0006071 .012687
_cons | .0243335 .0316373 0.77 0.442 -.0378732 .0865402
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,969 missing values generated)
(62,207 missing values generated)
(238 real changes made)
(sum of wgt is 756.7074077129364)
Linear regression Number of obs = 380
F(3, 379) = 5.89
Prob > F = 0.0006
R-squared = 0.0346
Root MSE = .21678
(Std. Err. adjusted for 380 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0400962 .0421257 -0.95 0.342 -.1229255 .0427331
MV1_female | -.0041324 .0031889 -1.30 0.196 -.0104026 .0021378
femaleXMV1_female | .0059795 .0035036 1.71 0.089 -.0009095 .0128684
_cons | .0340471 .0407528 0.84 0.404 -.0460827 .114177
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 160.20
Prob > F = 0.0000
R-squared = 0.0380
Root MSE = .24235
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0962603 .0076052 -12.66 0.000 -.1111703 -.0813502
_cons | .1134424 .0051629 21.97 0.000 .1033205 .1235644
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 587 .439523 .4967524 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 4,188 .6860076 .4641687 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 892
----------------------+---------------------- NN matches = 3
Number of obs | 496 396 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.15672 32.77455 .5539884
----------------------------------------------
Linear regression Number of obs = 4,775
F(1, 4774) = 128.91
Prob > F = 0.0000
R-squared = 0.0290
Root MSE = .46829
(Std. Err. adjusted for 4,775 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2464846 .0217093 -11.35 0.000 -.2890449 -.2039244
_cons | .6860076 .0071732 95.64 0.000 .6719449 .7000704
--------------------------------------------------------------------------------
Linear regression Number of obs = 282
F(3, 281) = 7.80
Prob > F = 0.0001
R-squared = 0.0787
Root MSE = .47983
(Std. Err. adjusted for 282 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2515708 .1203763 -2.09 0.038 -.4885246 -.014617
MV1_female | -.0020792 .0067642 -0.31 0.759 -.0153942 .0112358
femaleXMV1_female | .0005992 .0111286 0.05 0.957 -.0213067 .0225052
_cons | .6505778 .0746428 8.72 0.000 .5036478 .7975078
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,063 missing values generated)
(62,239 missing values generated)
(176 real changes made)
(sum of wgt is 562.6778956651688)
Linear regression Number of obs = 282
F(3, 281) = 4.42
Prob > F = 0.0047
R-squared = 0.0547
Root MSE = .48777
(Std. Err. adjusted for 282 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1291982 .1298716 -0.99 0.321 -.3848429 .1264465
MV1_female | -.0027958 .0070782 -0.39 0.693 -.0167288 .0111371
femaleXMV1_female | -.0046749 .011935 -0.39 0.696 -.0281683 .0188185
_cons | .6291087 .07851 8.01 0.000 .4745663 .7836511
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,757.95402216911)
Linear regression Number of obs = 4,387
F(1, 4386) = 58.50
Prob > F = 0.0000
R-squared = 0.0512
Root MSE = .4825
(Std. Err. adjusted for 4,387 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2240354 .0292916 -7.65 0.000 -.2814617 -.166609
_cons | .6806943 .0075923 89.66 0.000 .6658096 .695579
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 587 .0545145 .2272237 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 4,169 .1014632 .3019773 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 888
----------------------+---------------------- NN matches = 3
Number of obs | 492 396 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.99248 33.31159 .5401267
----------------------------------------------
Linear regression Number of obs = 4,756
F(1, 4755) = 20.09
Prob > F = 0.0000
R-squared = 0.0028
Root MSE = .29379
(Std. Err. adjusted for 4,756 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0469487 .0104748 -4.48 0.000 -.0674841 -.0264133
_cons | .1014632 .0046773 21.69 0.000 .0922935 .1106329
--------------------------------------------------------------------------------
Linear regression Number of obs = 276
F(3, 275) = 0.51
Prob > F = 0.6742
R-squared = 0.0047
Root MSE = .29856
(Std. Err. adjusted for 276 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0378385 .0633262 -0.60 0.551 -.1625041 .0868271
MV1_female | -.0017515 .0044163 -0.40 0.692 -.0104456 .0069426
femaleXMV1_female | .0037941 .0060865 0.62 0.534 -.008188 .0157761
_cons | .0949297 .0472938 2.01 0.046 .0018258 .1880337
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,066 missing values generated)
(62,242 missing values generated)
(176 real changes made)
(sum of wgt is 552.4403859376907)
Linear regression Number of obs = 276
F(3, 275) = 0.37
Prob > F = 0.7754
R-squared = 0.0042
Root MSE = .28954
(Std. Err. adjusted for 276 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.03669 .0678143 -0.54 0.589 -.170191 .0968111
MV1_female | -.0017725 .0043711 -0.41 0.685 -.0103777 .0068326
femaleXMV1_female | .0053793 .0072697 0.74 0.460 -.0089319 .0196905
_cons | .085321 .0458097 1.86 0.064 -.0048612 .1755033
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,733.35051560402)
Linear regression Number of obs = 4,368
F(1, 4367) = 38.36
Prob > F = 0.0000
R-squared = 0.0130
Root MSE = .25775
(Std. Err. adjusted for 4,368 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.059252 .0095668 -6.19 0.000 -.0780078 -.0404961
_cons | .1021913 .0049404 20.68 0.000 .0925057 .111877
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 581 .253012 .4351124 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 4,178 .1685017 .374356 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.10431 35.47992 .5384542
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 19.90
Prob > F = 0.0000
R-squared = 0.0052
Root MSE = .38228
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0845104 .0189468 4.46 0.000 .0473659 .1216549
_cons | .1685017 .0057922 29.09 0.000 .1571464 .179857
--------------------------------------------------------------------------------
Linear regression Number of obs = 287
F(3, 286) = 1.91
Prob > F = 0.1285
R-squared = 0.0256
Root MSE = .34063
(Std. Err. adjusted for 287 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0289525 .0844294 -0.34 0.732 -.1951343 .1372293
MV1_female | .0026313 .0039955 0.66 0.511 -.005233 .0104955
femaleXMV1_female | .0068056 .0079802 0.85 0.394 -.0089017 .0225129
_cons | .1283764 .0484017 2.65 0.008 .0331075 .2236452
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,053 missing values generated)
(62,235 missing values generated)
(182 real changes made)
(sum of wgt is 570.0657125711441)
Linear regression Number of obs = 287
F(3, 286) = 1.32
Prob > F = 0.2692
R-squared = 0.0215
Root MSE = .34036
(Std. Err. adjusted for 287 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0521406 .0806806 -0.65 0.519 -.2109437 .1066625
MV1_female | .002716 .0042534 0.64 0.524 -.005656 .011088
femaleXMV1_female | .0066406 .0078495 0.85 0.398 -.0088095 .0220907
_cons | .1304155 .0513189 2.54 0.012 .0294048 .2314261
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 12.43
Prob > F = 0.0004
R-squared = 0.0132
Root MSE = .40721
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0941606 .0267119 3.53 0.000 .0417918 .1465294
_cons | .1667033 .0060543 27.53 0.000 .1548338 .1785728
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 581 .2134251 .4100784 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 4,178 .0868837 .2816982 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.97493 35.47673 .5912306
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 51.98
Prob > F = 0.0000
R-squared = 0.0187
Root MSE = .3003
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1265415 .0175516 7.21 0.000 .0921322 .1609508
_cons | .0868837 .0043585 19.93 0.000 .078339 .0954284
--------------------------------------------------------------------------------
Linear regression Number of obs = 333
F(3, 332) = 1.67
Prob > F = 0.1738
R-squared = 0.0172
Root MSE = .32071
(Std. Err. adjusted for 333 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0818821 .0778188 1.05 0.293 -.071198 .2349623
MV1_female | .0009827 .0030769 0.32 0.750 -.00507 .0070354
femaleXMV1_female | -.0015999 .006123 -0.26 0.794 -.0136446 .0104449
_cons | .0966998 .0416763 2.32 0.021 .0147169 .1786827
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,006 missing values generated)
(62,224 missing values generated)
(218 real changes made)
(sum of wgt is 661.6102056503296)
Linear regression Number of obs = 333
F(3, 332) = 1.25
Prob > F = 0.2921
R-squared = 0.0138
Root MSE = .32749
(Std. Err. adjusted for 333 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0883672 .0805249 1.10 0.273 -.0700361 .2467706
MV1_female | .0004987 .0031077 0.16 0.873 -.0056146 .006612
femaleXMV1_female | -.0022849 .0063654 -0.36 0.720 -.0148066 .0102368
_cons | .090551 .0408666 2.22 0.027 .0101609 .1709411
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 18.55
Prob > F = 0.0000
R-squared = 0.0159
Root MSE = .33119
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0841697 .0195413 4.31 0.000 .0458588 .1224806
_cons | .085824 .0045686 18.79 0.000 .0768672 .0947807
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 581 .0860585 .2806921 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 4,178 .3243179 .4681754 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 23.04299 39.83709 .5784304
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 302.11
Prob > F = 0.0000
R-squared = 0.0292
Root MSE = .44952
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2382593 .0137078 -17.38 0.000 -.2651329 -.2113857
_cons | .3243179 .0072438 44.77 0.000 .3101167 .338519
--------------------------------------------------------------------------------
Linear regression Number of obs = 370
F(3, 369) = 7.91
Prob > F = 0.0000
R-squared = 0.0508
Root MSE = .37501
(Std. Err. adjusted for 370 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0961997 .0754001 -1.28 0.203 -.2444675 .052068
MV1_female | -.004598 .0041526 -1.11 0.269 -.0127637 .0035677
femaleXMV1_female | .0031797 .0054602 0.58 0.561 -.0075572 .0139167
_cons | .1849519 .0568641 3.25 0.001 .0731336 .2967703
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,969 missing values generated)
(62,207 missing values generated)
(238 real changes made)
(sum of wgt is 735.6118830442429)
Linear regression Number of obs = 370
F(3, 369) = 7.87
Prob > F = 0.0000
R-squared = 0.0536
Root MSE = .35716
(Std. Err. adjusted for 370 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0590543 .0846282 -0.70 0.486 -.2254684 .1073598
MV1_female | -.0042444 .0041684 -1.02 0.309 -.0124412 .0039523
femaleXMV1_female | .0002503 .0057332 0.04 0.965 -.0110234 .0115241
_cons | .1851941 .0573047 3.23 0.001 .0725094 .2978787
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 194.64
Prob > F = 0.0000
R-squared = 0.0848
Root MSE = .38586
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2347937 .0168294 -13.95 0.000 -.2677879 -.2017995
_cons | .3212304 .0075785 42.39 0.000 .3063728 .3360881
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 581 .0292599 .1686794 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 4,178 .0615127 .2402971 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 23.32096 44.3458 .5258887
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 16.58
Prob > F = 0.0000
R-squared = 0.0021
Root MSE = .23275
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0322528 .0079203 -4.07 0.000 -.0477803 -.0167253
_cons | .0615127 .003718 16.54 0.000 .0542238 .0688016
--------------------------------------------------------------------------------
Linear regression Number of obs = 379
F(3, 378) = 1.28
Prob > F = 0.2795
R-squared = 0.0077
Root MSE = .24858
(Std. Err. adjusted for 379 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0190353 .0418163 -0.46 0.649 -.1012569 .0631864
MV1_female | -.0027209 .0025053 -1.09 0.278 -.0076469 .0022052
femaleXMV1_female | .0052093 .003371 1.55 0.123 -.0014189 .0118375
_cons | .0399004 .0329708 1.21 0.227 -.0249289 .1047296
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(61,960 missing values generated)
(62,207 missing values generated)
(247 real changes made)
(sum of wgt is 753.2894883155823)
Linear regression Number of obs = 379
F(3, 378) = 0.80
Prob > F = 0.4932
R-squared = 0.0076
Root MSE = .24041
(Std. Err. adjusted for 379 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0092959 .0472983 -0.20 0.844 -.1022965 .0837048
MV1_female | -.0026881 .0026696 -1.01 0.315 -.0079372 .002561
femaleXMV1_female | .0038167 .0034046 1.12 0.263 -.0028777 .0105111
_cons | .0419297 .0353208 1.19 0.236 -.0275203 .1113796
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 30.44
Prob > F = 0.0000
R-squared = 0.0095
Root MSE = .20264
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0397684 .0072076 -5.52 0.000 -.053899 -.0256377
_cons | .0631111 .0039677 15.91 0.000 .0553324 .0708899
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 581 .0998279 .3000287 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 4,178 .1859742 .3891324 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.56572 35.19274 .4991292
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 38.86
Prob > F = 0.0000
R-squared = 0.0055
Root MSE = .37939
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0861463 .0138197 -6.23 0.000 -.1132392 -.0590533
_cons | .1859742 .0060208 30.89 0.000 .1741706 .1977777
--------------------------------------------------------------------------------
Linear regression Number of obs = 268
F(3, 267) = 3.92
Prob > F = 0.0092
R-squared = 0.0396
Root MSE = .40662
(Std. Err. adjusted for 268 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0876586 .0973076 0.90 0.368 -.1039292 .2792463
MV1_female | -.0128567 .0061984 -2.07 0.039 -.0250607 -.0006527
femaleXMV1_female | .0038667 .0090495 0.43 0.670 -.0139507 .0216841
_cons | .1379693 .0616075 2.24 0.026 .016671 .2592677
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,072 missing values generated)
(62,244 missing values generated)
(172 real changes made)
(sum of wgt is 531.272495508194)
Linear regression Number of obs = 268
F(3, 267) = 2.73
Prob > F = 0.0442
R-squared = 0.0354
Root MSE = .39869
(Std. Err. adjusted for 268 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0762372 .0936546 0.81 0.416 -.1081582 .2606327
MV1_female | -.0148209 .0062377 -2.38 0.018 -.0271022 -.0025396
femaleXMV1_female | .0107535 .0093493 1.15 0.251 -.0076542 .0291612
_cons | .1130585 .0589295 1.92 0.056 -.0029671 .2290841
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 44.28
Prob > F = 0.0000
R-squared = 0.0231
Root MSE = .3407
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1047299 .0157386 -6.65 0.000 -.1355855 -.0738742
_cons | .1898617 .0063412 29.94 0.000 .1774297 .2022936
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 581 .313253 .464216 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 4,178 .1476783 .3548233 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 884
----------------------+---------------------- NN matches = 3
Number of obs | 492 392 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.7139 31.9888 .5537534
----------------------------------------------
Linear regression Number of obs = 4,759
F(1, 4758) = 68.44
Prob > F = 0.0000
R-squared = 0.0210
Root MSE = .3699
(Std. Err. adjusted for 4,759 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1655747 .0200141 8.27 0.000 .1263379 .2048115
_cons | .1476783 .0054899 26.90 0.000 .1369155 .1584411
--------------------------------------------------------------------------------
Linear regression Number of obs = 272
F(3, 271) = 2.44
Prob > F = 0.0646
R-squared = 0.0271
Root MSE = .44941
(Std. Err. adjusted for 272 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0458948 .117754 -0.39 0.697 -.2777238 .1859342
MV1_female | .0095588 .0064495 1.48 0.139 -.0031387 .0222563
femaleXMV1_female | -.0015027 .0112432 -0.13 0.894 -.0236377 .0206323
_cons | .334014 .0731828 4.56 0.000 .1899348 .4780931
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,068 missing values generated)
(62,243 missing values generated)
(175 real changes made)
(sum of wgt is 539.7586525678635)
Linear regression Number of obs = 272
F(3, 271) = 2.56
Prob > F = 0.0551
R-squared = 0.0285
Root MSE = .4572
(Std. Err. adjusted for 272 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0712118 .1316356 -0.54 0.589 -.3303702 .1879466
MV1_female | .0113564 .0066822 1.70 0.090 -.0017992 .0245121
femaleXMV1_female | -.0026129 .0124849 -0.21 0.834 -.0271926 .0219669
_cons | .3576745 .0777367 4.60 0.000 .2046299 .5107191
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,712.50798380375)
Linear regression Number of obs = 4,371
F(1, 4370) = 59.99
Prob > F = 0.0000
R-squared = 0.0643
Root MSE = .42356
(Std. Err. adjusted for 4,371 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .2219924 .0286625 7.75 0.000 .1657995 .2781854
_cons | .1479319 .0057984 25.51 0.000 .136564 .1592997
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 590 .1576271 .3647002 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 4,201 .0654606 .2473663 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 898
----------------------+---------------------- NN matches = 3
Number of obs | 500 398 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 10.30635 23.93233 .4306455
----------------------------------------------
Linear regression Number of obs = 4,791
F(1, 4790) = 35.44
Prob > F = 0.0000
R-squared = 0.0129
Root MSE = .26462
(Std. Err. adjusted for 4,791 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0921665 .0154827 5.95 0.000 .0618133 .1225197
_cons | .0654606 .0038168 17.15 0.000 .0579779 .0729434
--------------------------------------------------------------------------------
Linear regression Number of obs = 151
F(2, 150) = .
Prob > F = .
R-squared = 0.0209
Root MSE = .08134
(Std. Err. adjusted for 151 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0039406 .0048969 -0.80 0.422 -.0136163 .0057352
MV1_female | 9.81e-18 8.50e-18 1.15 0.250 -6.98e-18 2.66e-17
femaleXMV1_female | .0041709 .004232 0.99 0.326 -.0041912 .0125329
_cons | 5.03e-17 2.40e-17 2.09 0.038 2.81e-18 9.78e-17
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,198 missing values generated)
(62,290 missing values generated)
(92 real changes made)
(sum of wgt is 302.0920723676682)
Linear regression Number of obs = 151
F(2, 150) = .
Prob > F = .
R-squared = 0.0338
Root MSE = .12609
(Std. Err. adjusted for 151 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0082442 .0104384 -0.79 0.431 -.0288695 .0123811
MV1_female | 0 1.55e-17 0.00 1.000 -3.07e-17 3.07e-17
femaleXMV1_female | .0076949 .0076927 1.00 0.319 -.007505 .0228949
_cons | 1.39e-17 1.11e-16 0.12 0.901 -2.05e-16 2.33e-16
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(57,946 missing values generated)
(61,809 missing values generated)
(3,863 real changes made)
(sum of wgt is 8,808.59098601341)
Linear regression Number of obs = 4,403
F(1, 4402) = 4.55
Prob > F = 0.0330
R-squared = 0.0023
Root MSE = .26731
(Std. Err. adjusted for 4,403 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0258443 .0121145 2.13 0.033 .0020937 .0495948
_cons | .0646865 .0041515 15.58 0.000 .0565474 .0728255
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 406 .1847291 .3885564 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 2,099 .2510719 .4337332 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.23593 31.8411 .6041227
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 9.55
Prob > F = 0.0020
R-squared = 0.0033
Root MSE = .42675
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0663429 .0214685 -3.09 0.002 -.1084408 -.024245
_cons | .2510719 .0094686 26.52 0.000 .2325048 .2696391
--------------------------------------------------------------------------------
Linear regression Number of obs = 131
F(3, 130) = 0.74
Prob > F = 0.5280
R-squared = 0.0199
Root MSE = .43201
(Std. Err. adjusted for 131 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2064244 .1596226 -1.29 0.198 -.5222187 .1093699
MV1_female | .0108404 .0099225 1.09 0.277 -.0087901 .0304709
femaleXMV1_female | -.010181 .0134311 -0.76 0.450 -.0367527 .0163907
_cons | .4057587 .1270699 3.19 0.002 .1543662 .6571512
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,218 missing values generated)
(62,276 missing values generated)
(58 real changes made)
(sum of wgt is 249.2754527330399)
Linear regression Number of obs = 131
F(3, 130) = 0.14
Prob > F = 0.9377
R-squared = 0.0032
Root MSE = .42751
(Std. Err. adjusted for 131 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0639106 .1643156 -0.39 0.698 -.3889893 .2611681
MV1_female | .0057049 .0089512 0.64 0.525 -.012004 .0234138
femaleXMV1_female | -.0054055 .0136888 -0.39 0.694 -.0324872 .0216761
_cons | .2912225 .1181797 2.46 0.015 .057418 .525027
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.27
Prob > F = 0.6055
R-squared = 0.0004
Root MSE = .40289
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0163734 .0316991 -0.52 0.606 -.0785356 .0457888
_cons | .2120091 .0092373 22.95 0.000 .1938946 .2301236
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 406 .2167488 .4125384 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 2,099 .2296332 .4206971 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.61468 35.81232 .5197841
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 0.33
Prob > F = 0.5656
R-squared = 0.0001
Root MSE = .41939
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0128844 .0224239 -0.57 0.566 -.0568556 .0310869
_cons | .2296332 .009184 25.00 0.000 .2116241 .2476422
--------------------------------------------------------------------------------
Linear regression Number of obs = 125
F(3, 124) = 1.06
Prob > F = 0.3709
R-squared = 0.0190
Root MSE = .39651
(Std. Err. adjusted for 125 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1426715 .1352841 1.05 0.294 -.1250936 .4104366
MV1_female | -.0057199 .0089936 -0.64 0.526 -.0235208 .0120809
femaleXMV1_female | -.006162 .0117819 -0.52 0.602 -.0294816 .0171576
_cons | .1479255 .0963446 1.54 0.127 -.0427675 .3386185
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,224 missing values generated)
(62,278 missing values generated)
(54 real changes made)
(sum of wgt is 237.5823001861572)
Linear regression Number of obs = 125
F(3, 124) = 1.49
Prob > F = 0.2207
R-squared = 0.0320
Root MSE = .41092
(Std. Err. adjusted for 125 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2122565 .1533275 1.38 0.169 -.0912215 .5157345
MV1_female | -.0098884 .0100161 -0.99 0.325 -.029713 .0099362
femaleXMV1_female | -.0057934 .0133512 -0.43 0.665 -.0322191 .0206324
_cons | .134289 .1050674 1.28 0.204 -.0736688 .3422467
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.00
Prob > F = 0.9611
R-squared = 0.0000
Root MSE = .42896
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0016017 .0328472 0.05 0.961 -.0628119 .0660154
_cons | .2419814 .009903 24.44 0.000 .2225616 .2614012
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 406 .1600985 .3671498 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 2,099 .3425441 .4746735 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.01023 33.95644 .5598418
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 75.85
Prob > F = 0.0000
R-squared = 0.0210
Root MSE = .45899
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1824455 .0209486 -8.71 0.000 -.2235238 -.1413672
_cons | .3425441 .0103624 33.06 0.000 .3222244 .3628637
--------------------------------------------------------------------------------
Linear regression Number of obs = 127
F(3, 126) = 3.79
Prob > F = 0.0121
R-squared = 0.0714
Root MSE = .42512
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2481038 .1494993 -1.66 0.099 -.5439585 .047751
MV1_female | -.0073306 .0117657 -0.62 0.534 -.0306146 .0159534
femaleXMV1_female | .0208146 .0142549 1.46 0.147 -.0073955 .0490247
_cons | .2909547 .1313775 2.21 0.029 .0309626 .5509469
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,222 missing values generated)
(62,277 missing values generated)
(55 real changes made)
(sum of wgt is 242.5370236635208)
Linear regression Number of obs = 127
F(3, 126) = 1.16
Prob > F = 0.3266
R-squared = 0.0380
Root MSE = .4355
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0432932 .1600652 -0.27 0.787 -.3600576 .2734712
MV1_female | -.0134949 .0110398 -1.22 0.224 -.0353422 .0083525
femaleXMV1_female | .0300441 .0162397 1.85 0.067 -.0020938 .0621821
_cons | .1356083 .110214 1.23 0.221 -.0825018 .3537185
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.13
Prob > F = 0.7158
R-squared = 0.0004
Root MSE = .46949
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0178104 .0489066 0.36 0.716 -.0780958 .1137167
_cons | .3187099 .0105004 30.35 0.000 .2981186 .3393013
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 406 .4384236 .4968061 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 2,099 .1767508 .3815486 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.90098 32.04971 .5897395
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 101.25
Prob > F = 0.0000
R-squared = 0.0543
Root MSE = .40244
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .2616728 .0260055 10.06 0.000 .2106782 .3126674
_cons | .1767508 .0083294 21.22 0.000 .1604176 .193084
--------------------------------------------------------------------------------
Linear regression Number of obs = 127
F(3, 126) = 5.77
Prob > F = 0.0010
R-squared = 0.1132
Root MSE = .43818
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .3290819 .1589571 2.07 0.040 .0145104 .6436533
MV1_female | .0040867 .0096838 0.42 0.674 -.0150772 .0232506
femaleXMV1_female | -.0113089 .0141841 -0.80 0.427 -.0393788 .016761
_cons | .1677913 .1106649 1.52 0.132 -.0512113 .3867939
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,222 missing values generated)
(62,277 missing values generated)
(55 real changes made)
(sum of wgt is 242.5370236635208)
Linear regression Number of obs = 127
F(3, 126) = 1.00
Prob > F = 0.3953
R-squared = 0.0374
Root MSE = .44965
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0883901 .2355645 -0.38 0.708 -.5545653 .377785
MV1_female | .0200479 .0160853 1.25 0.215 -.0117845 .0518803
femaleXMV1_female | -.026602 .0184893 -1.44 0.153 -.0631917 .0099876
_cons | .4561909 .2106997 2.17 0.032 .0392224 .8731595
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.01
Prob > F = 0.9148
R-squared = 0.0000
Root MSE = .41827
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0030387 .0283915 -0.11 0.915 -.0587146 .0526372
_cons | .2272995 .0104247 21.80 0.000 .2068567 .2477424
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 406 17.3828 18.74459 .5531912 70.98532
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 2,099 15.86604 18.78622 .0918472 92.06912
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 12.34153 24.28682 .5081577
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 2.23
Prob > F = 0.1356
R-squared = 0.0009
Root MSE = 18.779
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.516759 1.015957 1.49 0.136 -.4754431 3.508961
_cons | 15.86604 .4101127 38.69 0.000 15.06184 16.67023
--------------------------------------------------------------------------------
Linear regression Number of obs = 78
F(3, 77) = 1.48
Prob > F = 0.2277
R-squared = 0.0323
Root MSE = 8.8049
(Std. Err. adjusted for 78 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -4.554973 2.875292 -1.58 0.117 -10.28041 1.170466
MV1_female | .0198694 .4130907 0.05 0.962 -.8026993 .8424381
femaleXMV1_female | .4275456 .573829 0.75 0.458 -.715094 1.570185
_cons | 8.825744 2.391927 3.69 0.000 4.062809 13.58868
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,273 missing values generated)
(62,302 missing values generated)
(29 real changes made)
(sum of wgt is 155.9862657785416)
Linear regression Number of obs = 76
F(3, 75) = 2.33
Prob > F = 0.0811
R-squared = 0.1314
Root MSE = 8.226
(Std. Err. adjusted for 76 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .4855981 3.748304 0.13 0.897 -6.981406 7.952602
MV1_female | -1.064316 .5647997 -1.88 0.063 -2.189455 .0608223
femaleXMV1_female | 1.526605 .7190356 2.12 0.037 .0942127 2.958998
_cons | 3.956179 3.244507 1.22 0.227 -2.507209 10.41957
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.12
Prob > F = 0.7294
R-squared = 0.0002
Root MSE = 18.176
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .4519693 1.306585 0.35 0.729 -2.110252 3.014191
_cons | 15.38915 .444899 34.59 0.000 14.5167 16.2616
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 406 89.05026 19.25993 5.86981 100
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 2,099 74.31197 27.83106 0 100.0476
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 26.4943 46.91317 .5647518
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 169.53
Prob > F = 0.0000
R-squared = 0.0400
Root MSE = 26.632
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 14.73829 1.131933 13.02 0.000 12.51867 16.95791
_cons | 74.31197 .607566 122.31 0.000 73.12059 75.50336
--------------------------------------------------------------------------------
Linear regression Number of obs = 174
F(3, 173) = 2.36
Prob > F = 0.0730
R-squared = 0.0420
Root MSE = 26.388
(Std. Err. adjusted for 174 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 7.320225 7.858315 0.93 0.353 -8.190292 22.83074
MV1_female | .3152997 .4244993 0.74 0.459 -.5225649 1.153164
femaleXMV1_female | -.4108697 .5509951 -0.75 0.457 -1.498408 .6766687
_cons | 72.67374 6.343747 11.46 0.000 60.15263 85.19484
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,175 missing values generated)
(62,256 missing values generated)
(81 real changes made)
(sum of wgt is 437.1416748762131)
Linear regression Number of obs = 174
F(3, 173) = 1.47
Prob > F = 0.2251
R-squared = 0.0873
Root MSE = 24.434
(Std. Err. adjusted for 174 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 5.838675 9.771045 0.60 0.551 -13.44713 25.12448
MV1_female | -1.054445 .5377441 -1.96 0.051 -2.115828 .0069393
femaleXMV1_female | 1.332276 .6714954 1.98 0.049 .0068979 2.657654
_cons | 65.63284 6.759434 9.71 0.000 52.29126 78.97442
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.04
Prob > F = 0.8359
R-squared = 0.0001
Root MSE = 26.567
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .5406382 2.609028 0.21 0.836 -4.575683 5.656959
_cons | 75.49526 .6246611 120.86 0.000 74.27029 76.72022
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 406 17.31354 13.76209 .5351791 56.02679
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 2,099 9.734637 10.66096 .3678524 58.51513
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.0928 35.60761 .5361999
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 110.49
Prob > F = 0.0000
R-squared = 0.0584
Root MSE = 11.221
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 7.578904 .7210261 10.51 0.000 6.165035 8.992773
_cons | 9.734637 .2327341 41.83 0.000 9.278266 10.19101
--------------------------------------------------------------------------------
Linear regression Number of obs = 127
F(3, 126) = 2.68
Prob > F = 0.0500
R-squared = 0.0539
Root MSE = 7.5201
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 2.85204 2.811772 1.01 0.312 -2.712375 8.416454
MV1_female | .013257 .1313676 0.10 0.920 -.2467155 .2732296
femaleXMV1_female | .0462065 .2683457 0.17 0.864 -.4848418 .5772548
_cons | 6.110107 1.657907 3.69 0.000 2.829157 9.391057
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,222 missing values generated)
(62,277 missing values generated)
(55 real changes made)
(sum of wgt is 242.5370236635208)
Linear regression Number of obs = 127
F(3, 126) = 0.41
Prob > F = 0.7450
R-squared = 0.0103
Root MSE = 6.8823
(Std. Err. adjusted for 127 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.8857439 2.813651 -0.31 0.753 -6.453876 4.682388
MV1_female | .1265516 .1700111 0.74 0.458 -.2098954 .4629987
femaleXMV1_female | -.0734351 .2472681 -0.30 0.767 -.5627714 .4159011
_cons | 8.312692 2.124996 3.91 0.000 4.107388 12.518
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.40
Prob > F = 0.5294
R-squared = 0.0004
Root MSE = 10.59
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.4447716 .707084 -0.63 0.529 -1.831368 .9418246
_cons | 9.959139 .2731258 36.46 0.000 9.423537 10.49474
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 406 12.16274 3.641203 5.899971 25.36679
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 2,099 13.85395 4.100731 5.573297 38.99562
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.26278 32.89846 .4943326
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 70.42
Prob > F = 0.0000
R-squared = 0.0234
Root MSE = 4.0299
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.691215 .2015333 -8.39 0.000 -2.086404 -1.296026
_cons | 13.85395 .089521 154.76 0.000 13.67841 14.0295
--------------------------------------------------------------------------------
Linear regression Number of obs = 109
F(3, 108) = 0.59
Prob > F = 0.6198
R-squared = 0.0166
Root MSE = 3.6459
(Std. Err. adjusted for 109 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.42491 1.453342 -0.98 0.329 -4.305686 1.455866
MV1_female | .1408839 .1067749 1.32 0.190 -.0707624 .3525303
femaleXMV1_female | -.1190949 .1533792 -0.78 0.439 -.4231192 .1849293
_cons | 14.29358 1.100266 12.99 0.000 12.11266 16.4745
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,240 missing values generated)
(62,287 missing values generated)
(47 real changes made)
(sum of wgt is 208.1918572187424)
Linear regression Number of obs = 109
F(3, 108) = 0.15
Prob > F = 0.9318
R-squared = 0.0054
Root MSE = 3.6656
(Std. Err. adjusted for 109 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0387868 1.696287 0.02 0.982 -3.323549 3.401122
MV1_female | .0593009 .1409744 0.42 0.675 -.2201348 .3387366
femaleXMV1_female | -.1051404 .1873056 -0.56 0.576 -.4764127 .2661319
_cons | 13.24404 1.406933 9.41 0.000 10.45525 16.03282
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.41
Prob > F = 0.5225
R-squared = 0.0006
Root MSE = 4.0248
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .2043267 .3194976 0.64 0.523 -.4222102 .8308636
_cons | 13.78637 .0941073 146.50 0.000 13.60182 13.97091
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 406 10.25197 .3325923 9.42521 11.00342
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 2,099 10.15636 .3193754 9.040027 11.03544
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 24.49054 45.16008 .542305
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 28.51
Prob > F = 0.0000
R-squared = 0.0119
Root MSE = .32155
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0956114 .0179057 5.34 0.000 .0604999 .1307228
_cons | 10.15636 .0069721 1456.71 0.000 10.14269 10.17003
--------------------------------------------------------------------------------
Linear regression Number of obs = 168
F(3, 167) = 2.79
Prob > F = 0.0422
R-squared = 0.0486
Root MSE = .32589
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .167231 .0978511 1.71 0.089 -.0259536 .3604157
MV1_female | .002668 .0042969 0.62 0.536 -.0058152 .0111512
femaleXMV1_female | -.0094277 .0069434 -1.36 0.176 -.0231359 .0042804
_cons | 10.28299 .0657501 156.40 0.000 10.15318 10.4128
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,181 missing values generated)
(62,261 missing values generated)
(80 real changes made)
(sum of wgt is 395.1519755125046)
Linear regression Number of obs = 168
F(3, 167) = 3.46
Prob > F = 0.0177
R-squared = 0.0895
Root MSE = .2925
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0228418 .1019018 -0.22 0.823 -.2240236 .1783399
MV1_female | .0123477 .0045931 2.69 0.008 .0032796 .0214157
femaleXMV1_female | -.0197713 .007165 -2.76 0.006 -.033917 -.0056256
_cons | 10.40818 .0708929 146.82 0.000 10.26822 10.54814
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.07
Prob > F = 0.7935
R-squared = 0.0001
Root MSE = .32011
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0062555 .0238913 0.26 0.793 -.0405955 .0531065
_cons | 10.17413 .0076593 1328.33 0.000 10.15911 10.18915
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 406 .5788697 7.333087 -12.46987 10.70349
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 2,099 1.260644 7.275962 -12.60133 11.07475
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 25.71774 44.09332 .583257
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 2.95
Prob > F = 0.0859
R-squared = 0.0012
Root MSE = 7.2852
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.6817744 .3968092 -1.72 0.086 -1.459882 .0963333
_cons | 1.260644 .1588379 7.94 0.000 .9491771 1.572111
--------------------------------------------------------------------------------
Linear regression Number of obs = 171
F(3, 170) = 1.40
Prob > F = 0.2433
R-squared = 0.0259
Root MSE = 7.118
(Std. Err. adjusted for 171 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 3.561887 2.276787 1.56 0.120 -.93253 8.056303
MV1_female | -.0915691 .114089 -0.80 0.423 -.3167827 .1336444
femaleXMV1_female | .0735691 .1495351 0.49 0.623 -.2216156 .3687538
_cons | -.9845527 1.799779 -0.55 0.585 -4.537347 2.568242
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,178 missing values generated)
(62,259 missing values generated)
(81 real changes made)
(sum of wgt is 421.8151891231537)
Linear regression Number of obs = 171
F(3, 170) = 2.30
Prob > F = 0.0788
R-squared = 0.1041
Root MSE = 6.4642
(Std. Err. adjusted for 171 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 3.226048 2.586142 1.25 0.214 -1.879039 8.331136
MV1_female | -.3377322 .1332087 -2.54 0.012 -.6006885 -.0747759
femaleXMV1_female | .3687147 .1747383 2.11 0.036 .0237784 .713651
_cons | -1.880193 1.981254 -0.95 0.344 -5.791221 2.030835
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 1.69
Prob > F = 0.1941
R-squared = 0.0018
Root MSE = 6.9911
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .5988209 .4610152 1.30 0.194 -.3052329 1.502875
_cons | 1.361601 .1703726 7.99 0.000 1.0275 1.695703
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 283 .6791362 .1388131 .3295456 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 1,347 .6771273 .1547428 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 314
----------------------+---------------------- NN matches = 3
Number of obs | 124 190 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 79.922
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.91037 37.63249 .5556469
----------------------------------------------
Linear regression Number of obs = 1,630
F(1, 1629) = 0.05
Prob > F = 0.8283
R-squared = 0.0000
Root MSE = .1521
(Std. Err. adjusted for 1,630 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0020088 .0092583 0.22 0.828 -.0161507 .0201683
_cons | .6771273 .0042173 160.56 0.000 .6688555 .6853992
--------------------------------------------------------------------------------
Linear regression Number of obs = 104
F(3, 103) = 4.72
Prob > F = 0.0040
R-squared = 0.0927
Root MSE = .11824
(Std. Err. adjusted for 104 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0474663 .0495478 -0.96 0.340 -.1457326 .0508001
MV1_female | -.0044144 .0035299 -1.25 0.214 -.011415 .0025863
femaleXMV1_female | .0099039 .0039436 2.51 0.014 .0020827 .0177251
_cons | .5151016 .0451621 11.41 0.000 .4255333 .6046699
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,207 missing values generated)
(62,274 missing values generated)
(67 real changes made)
(sum of wgt is 198.6848473548889)
Linear regression Number of obs = 104
F(3, 103) = 3.43
Prob > F = 0.0198
R-squared = 0.1034
Root MSE = .11238
(Std. Err. adjusted for 104 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0402696 .0422165 -0.95 0.342 -.1239962 .0434569
MV1_female | -.0049606 .0026202 -1.89 0.061 -.0101572 .000236
femaleXMV1_female | .0102598 .0034566 2.97 0.004 .0034044 .0171152
_cons | .5066278 .0297376 17.04 0.000 .4476502 .5656054
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 2,936.12477052212)
Linear regression Number of obs = 1,507
F(1, 1506) = 1.46
Prob > F = 0.2273
R-squared = 0.0025
Root MSE = .14398
(Std. Err. adjusted for 1,507 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0143632 .0118908 -1.21 0.227 -.0376875 .0089612
_cons | .6720363 .0042567 157.88 0.000 .6636867 .680386
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 406 77.00303 21.17986 16.42093 100
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 2,099 76.46546 21.21605 1.008516 100
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 19.39009 33.22381 .5836202
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 0.22
Prob > F = 0.6396
R-squared = 0.0001
Root MSE = 21.21
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .5375762 1.147853 0.47 0.640 -1.713263 2.788415
_cons | 76.46546 .4631571 165.10 0.000 75.55725 77.37367
--------------------------------------------------------------------------------
Linear regression Number of obs = 132
F(3, 131) = 6.72
Prob > F = 0.0003
R-squared = 0.1296
Root MSE = 15.243
(Std. Err. adjusted for 132 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 1.308589 5.317168 0.25 0.806 -9.210037 11.82722
MV1_female | -1.135932 .3299941 -3.44 0.001 -1.788739 -.4831248
femaleXMV1_female | 1.912082 .4573326 4.18 0.000 1.007369 2.816795
_cons | 51.9528 4.137506 12.56 0.000 43.76782 60.13777
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,217 missing values generated)
(62,276 missing values generated)
(59 real changes made)
(sum of wgt is 251.1230635643005)
Linear regression Number of obs = 132
F(3, 131) = 6.13
Prob > F = 0.0006
R-squared = 0.1482
Root MSE = 16.117
(Std. Err. adjusted for 132 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 1.586105 6.108227 0.26 0.796 -10.49743 13.66964
MV1_female | -1.22438 .3657725 -3.35 0.001 -1.947965 -.5007946
femaleXMV1_female | 2.257123 .5539307 4.07 0.000 1.161316 3.35293
_cons | 50.573 4.645661 10.89 0.000 41.38278 59.76323
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.00
Prob > F = 0.9913
R-squared = 0.0000
Root MSE = 21.072
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0208834 1.906945 -0.01 0.991 -3.760414 3.718647
_cons | 77.97594 .4839214 161.13 0.000 77.02697 78.92491
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 360 .3881601 .2442152 .0002862 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 1,918 .3957318 .2765471 6.32e-06 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 8.797248 17.89746 .4915361
----------------------------------------------
Linear regression Number of obs = 2,278
F(1, 2277) = 0.28
Prob > F = 0.5972
R-squared = 0.0001
Root MSE = .2717
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0075717 .0143263 -0.53 0.597 -.0356657 .0205222
_cons | .3957318 .0063157 62.66 0.000 .3833466 .4081169
--------------------------------------------------------------------------------
Linear regression Number of obs = 57
F(1, 56) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 57 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -9.78e-10 6.82e-10 -1.43 0.157 -2.34e-09 3.88e-10
MV1_female | -.01 1.58e-10 -6.3e+07 0.000 -.01 -.01
femaleXMV1_female | .02 2.00e-10 1.0e+08 0.000 .02 .02
_cons | 1.13e-09 5.75e-10 1.96 0.055 -2.54e-11 2.28e-09
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,303 missing values generated)
(62,321 missing values generated)
(18 real changes made)
(sum of wgt is 83.31954264640808)
Linear regression Number of obs = 46
F(0, 45) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 46 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.20e-11 6.59e-10 -0.03 0.974 -1.35e-09 1.30e-09
MV1_female | -.01 2.10e-10 -4.8e+07 0.000 -.01 -.01
femaleXMV1_female | .02 2.26e-10 8.9e+07 0.000 .02 .02
_cons | 2.33e-10 5.84e-10 0.40 0.692 -9.43e-10 1.41e-09
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.87
Prob > F = 0.3506
R-squared = 0.0015
Root MSE = .26014
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0199567 .0213769 -0.93 0.351 -.0618768 .0219635
_cons | .3944121 .0061082 64.57 0.000 .382434 .4063903
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 406 1 0 1 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 2,099 1 0 1 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | . . .
----------------------------------------------
Linear regression Number of obs = 2,505
F(0, 2504) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
_cons | 1 . . . . .
--------------------------------------------------------------------------------
Linear regression Number of obs = 443
F(0, 442) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 443 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 1 . . . . .
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(59,844 missing values generated)
(61,943 missing values generated)
(2,099 real changes made)
(sum of wgt is 2,048.71384584904)
Linear regression Number of obs = 443
F(0, 442) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 443 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 1 . . . . .
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(0, 2277) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
_cons | 1 . . . . .
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 406 4.273399 2.882323 1 14
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 2,099 6.089566 4.024067 1 20
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 21.79687 37.17605 .5863149
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 117.19
Prob > F = 0.0000
R-squared = 0.0292
Root MSE = 3.8623
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.816167 .1677665 -10.83 0.000 -2.145143 -1.487192
_cons | 6.089566 .0878474 69.32 0.000 5.917305 6.261827
--------------------------------------------------------------------------------
Linear regression Number of obs = 151
F(3, 150) = 7.15
Prob > F = 0.0002
R-squared = 0.1190
Root MSE = 3.418
(Std. Err. adjusted for 151 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.676662 1.291898 -2.07 0.040 -5.22933 -.1239944
MV1_female | -.0388796 .0912483 -0.43 0.671 -.2191776 .1414183
femaleXMV1_female | .1144888 .099849 1.15 0.253 -.0828034 .311781
_cons | 4.242741 1.217849 3.48 0.001 1.836387 6.649096
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,198 missing values generated)
(62,268 missing values generated)
(70 real changes made)
(sum of wgt is 284.1177639961243)
Linear regression Number of obs = 151
F(3, 150) = 2.47
Prob > F = 0.0642
R-squared = 0.0699
Root MSE = 3.4809
(Std. Err. adjusted for 151 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.783788 1.781715 -1.56 0.120 -6.304289 .7367126
MV1_female | .029284 .102475 0.29 0.775 -.1731968 .2317649
femaleXMV1_female | .0359696 .1249299 0.29 0.774 -.2108801 .2828193
_cons | 4.841621 1.538066 3.15 0.002 1.802548 7.880693
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 49.34
Prob > F = 0.0000
R-squared = 0.0570
Root MSE = 3.5002
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.72098 .2450054 -7.02 0.000 -2.201437 -1.240522
_cons | 6.070381 .0958763 63.31 0.000 5.882367 6.258395
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 406 .1945813 .3963665 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 2,099 .1157694 .3200245 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 26.8765 43.33226 .6202423
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 14.27
Prob > F = 0.0002
R-squared = 0.0075
Root MSE = .33356
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0788119 .0208597 3.78 0.000 .0379079 .1197158
_cons | .1157694 .0069863 16.57 0.000 .1020699 .1294689
--------------------------------------------------------------------------------
Linear regression Number of obs = 176
F(3, 175) = 17.45
Prob > F = 0.0000
R-squared = 0.1945
Root MSE = .43204
(Std. Err. adjusted for 176 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .203544 .1405733 1.45 0.149 -.0738931 .4809812
MV1_female | .022086 .0061517 3.59 0.000 .0099448 .0342271
femaleXMV1_female | -.0512433 .0079885 -6.41 0.000 -.0670095 -.0354772
_cons | .5729098 .1117317 5.13 0.000 .3523947 .7934249
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,173 missing values generated)
(62,255 missing values generated)
(82 real changes made)
(sum of wgt is 412.1031347513199)
Linear regression Number of obs = 176
F(3, 175) = 19.25
Prob > F = 0.0000
R-squared = 0.2636
Root MSE = .38462
(Std. Err. adjusted for 176 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1079615 .1599631 0.67 0.501 -.2077436 .4236666
MV1_female | .0265726 .005969 4.45 0.000 .0147921 .038353
femaleXMV1_female | -.0561523 .0079979 -7.02 0.000 -.0719372 -.0403675
_cons | .638868 .1245047 5.13 0.000 .3931439 .8845921
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 5.05
Prob > F = 0.0248
R-squared = 0.0088
Root MSE = .35967
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0677433 .0301515 2.25 0.025 .0086161 .1268706
_cons | .120071 .007551 15.90 0.000 .1052634 .1348786
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 406 55.92857 9.328164 32 80
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 2,099 54.2182 10.2064 27 89
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.61596 34.72755 .5936484
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 11.10
Prob > F = 0.0009
R-squared = 0.0039
Root MSE = 10.069
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.710372 .5134291 3.33 0.001 .7035831 2.717161
_cons | 54.2182 .2228109 243.34 0.000 53.78129 54.65511
--------------------------------------------------------------------------------
Linear regression Number of obs = 141
F(3, 140) = 0.28
Prob > F = 0.8362
R-squared = 0.0073
Root MSE = 9.8848
(Std. Err. adjusted for 141 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.38749 3.545334 -0.67 0.502 -9.396806 4.621826
MV1_female | .1795434 .2212086 0.81 0.418 -.2577979 .6168847
femaleXMV1_female | -.1168287 .2794807 -0.42 0.677 -.6693771 .4357196
_cons | 54.19895 3.060051 17.71 0.000 48.14907 60.24884
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,208 missing values generated)
(62,274 missing values generated)
(66 real changes made)
(sum of wgt is 266.5230338573456)
Linear regression Number of obs = 141
F(3, 140) = 0.76
Prob > F = 0.5162
R-squared = 0.0288
Root MSE = 10.346
(Std. Err. adjusted for 141 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -6.54846 4.743498 -1.38 0.170 -15.92661 2.82969
MV1_female | .3454094 .2778911 1.24 0.216 -.2039964 .8948151
femaleXMV1_female | -.1571626 .3532457 -0.44 0.657 -.8555483 .5412232
_cons | 57.04776 4.056904 14.06 0.000 49.02704 65.06848
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 0.06
Prob > F = 0.8052
R-squared = 0.0001
Root MSE = 10.011
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .2102685 .8523543 0.25 0.805 -1.461204 1.881741
_cons | 54.36084 .2393726 227.10 0.000 53.89143 54.83026
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 406 .0394089 .1948057 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 2,099 .1124345 .3159755 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 24.75523 48.9977 .5052325
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 37.85
Prob > F = 0.0000
R-squared = 0.0080
Root MSE = .29971
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0730256 .01187 -6.15 0.000 -.0963016 -.0497496
_cons | .1124345 .0068979 16.30 0.000 .0989083 .1259607
--------------------------------------------------------------------------------
Linear regression Number of obs = 168
F(1, 167) = .
Prob > F = .
R-squared = 0.0347
Root MSE = .16898
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0771668 .0715221 -1.08 0.282 -.2183708 .0640373
MV1_female | .0010868 .0047227 0.23 0.818 -.008237 .0104106
femaleXMV1_female | -.0010868 .0047227 -0.23 0.818 -.0104106 .008237
_cons | .0771668 .0715221 1.08 0.282 -.0640373 .2183708
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,181 missing values generated)
(62,261 missing values generated)
(80 real changes made)
(sum of wgt is 395.1519755125046)
Linear regression Number of obs = 168
F(1, 167) = .
Prob > F = .
R-squared = 0.4070
Root MSE = .32845
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1721967 .177941 0.97 0.335 -.179107 .5235004
MV1_female | -.0336418 .0178686 -1.88 0.061 -.0689192 .0016356
femaleXMV1_female | .0336418 .0178686 1.88 0.061 -.0016356 .0689192
_cons | -.1721967 .177941 -0.97 0.335 -.5235004 .179107
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 152.20
Prob > F = 0.0000
R-squared = 0.0485
Root MSE = .23921
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1079928 .0087536 -12.34 0.000 -.1251586 -.090827
_cons | .1185493 .0076757 15.44 0.000 .1034972 .1336015
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 404 .4777228 .5001228 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 2,097 .687649 .4635626 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.93986 30.89231 .5483518
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 61.16
Prob > F = 0.0000
R-squared = 0.0264
Root MSE = .46965
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2099263 .0268437 -7.82 0.000 -.2625645 -.157288
_cons | .687649 .0101246 67.92 0.000 .6677955 .7075026
--------------------------------------------------------------------------------
Linear regression Number of obs = 111
F(3, 110) = 3.52
Prob > F = 0.0174
R-squared = 0.0866
Root MSE = .48653
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1796074 .1874881 -0.96 0.340 -.5511649 .1919501
MV1_female | -.0085887 .0135068 -0.64 0.526 -.0353561 .0181787
femaleXMV1_female | .0041967 .0188449 0.22 0.824 -.0331494 .0415428
_cons | .6057014 .1412134 4.29 0.000 .3258495 .8855532
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,237 missing values generated)
(62,285 missing values generated)
(48 real changes made)
(sum of wgt is 212.3814735412598)
Linear regression Number of obs = 111
F(3, 110) = 0.99
Prob > F = 0.3993
R-squared = 0.0317
Root MSE = .49903
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1135741 .2548591 0.45 0.657 -.3914968 .618645
MV1_female | -.018651 .018124 -1.03 0.306 -.0545684 .0172664
femaleXMV1_female | .0105693 .0235931 0.45 0.655 -.0361866 .0573252
_cons | .4475369 .2125813 2.11 0.038 .0262507 .868823
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 5.04
Prob > F = 0.0248
R-squared = 0.0094
Root MSE = .48087
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0935067 .0416326 -2.25 0.025 -.1751487 -.0118648
_cons | .6762651 .0109653 61.67 0.000 .6547621 .6977681
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 404 .0594059 .236676 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 2,088 .1283525 .334562 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.9682 34.07182 .5567124
----------------------------------------------
Linear regression Number of obs = 2,492
F(1, 2491) = 24.75
Prob > F = 0.0000
R-squared = 0.0062
Root MSE = .32075
(Std. Err. adjusted for 2,492 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0689465 .013858 -4.98 0.000 -.096121 -.0417721
_cons | .1283525 .0073229 17.53 0.000 .1139929 .142712
--------------------------------------------------------------------------------
Linear regression Number of obs = 126
F(3, 125) = 4.14
Prob > F = 0.0078
R-squared = 0.1107
Root MSE = .34296
(Std. Err. adjusted for 126 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0798235 .1318502 -0.61 0.546 -.3407713 .1811244
MV1_female | -.0119607 .0111621 -1.07 0.286 -.034052 .0101306
femaleXMV1_female | .0093927 .01199 0.78 0.435 -.014337 .0331225
_cons | .1589593 .1200082 1.32 0.188 -.0785519 .3964705
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,222 missing values generated)
(62,277 missing values generated)
(55 real changes made)
(sum of wgt is 241.3792873620987)
Linear regression Number of obs = 126
F(3, 125) = 3.91
Prob > F = 0.0104
R-squared = 0.1186
Root MSE = .32313
(Std. Err. adjusted for 126 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0032405 .1134223 -0.03 0.977 -.2277172 .2212362
MV1_female | -.0165452 .0108525 -1.52 0.130 -.0380236 .0049332
femaleXMV1_female | .0137487 .0113761 1.21 0.229 -.008766 .0362634
_cons | .0688481 .1035689 0.66 0.507 -.1361276 .2738239
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,528.18498110771)
Linear regression Number of obs = 2,265
F(1, 2264) = 20.76
Prob > F = 0.0000
R-squared = 0.0156
Root MSE = .28855
(Std. Err. adjusted for 2,265 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.072501 .0159105 -4.56 0.000 -.1037016 -.0413004
_cons | .1295167 .0078221 16.56 0.000 .1141775 .144856
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 404 .2821782 .4506177 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 2,097 .2060086 .4045332 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.95023 35.57032 .5046405
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 10.01
Prob > F = 0.0016
R-squared = 0.0046
Root MSE = .41231
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0761696 .0240798 3.16 0.002 .0289513 .123388
_cons | .2060086 .0088354 23.32 0.000 .1886832 .223334
--------------------------------------------------------------------------------
Linear regression Number of obs = 118
F(3, 117) = 0.95
Prob > F = 0.4206
R-squared = 0.0264
Root MSE = .34368
(Std. Err. adjusted for 118 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0418849 .1028058 -0.41 0.684 -.2454865 .1617166
MV1_female | -.0041219 .0077265 -0.53 0.595 -.0194238 .0111801
femaleXMV1_female | .0173473 .0113462 1.53 0.129 -.0051232 .0398177
_cons | .0787704 .0783043 1.01 0.317 -.0763073 .233848
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,230 missing values generated)
(62,282 missing values generated)
(52 real changes made)
(sum of wgt is 225.9936149120331)
Linear regression Number of obs = 118
F(3, 117) = 1.04
Prob > F = 0.3795
R-squared = 0.0287
Root MSE = .31669
(Std. Err. adjusted for 118 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.040186 .082548 -0.49 0.627 -.2036681 .1232961
MV1_female | -.0054614 .0068461 -0.80 0.427 -.0190198 .008097
femaleXMV1_female | .0185127 .0107761 1.72 0.088 -.0028289 .0398542
_cons | .0511178 .0611257 0.84 0.405 -.0699385 .1721741
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 6.26
Prob > F = 0.0124
R-squared = 0.0120
Root MSE = .43158
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0951537 .0380326 2.50 0.012 .0205714 .169736
_cons | .2042009 .0093296 21.89 0.000 .1859056 .2224963
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 404 .220297 .4149608 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 2,097 .1044349 .3058968 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 25.78999 43.29577 .5956699
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 28.55
Prob > F = 0.0000
R-squared = 0.0168
Root MSE = .32596
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1158621 .0216827 5.34 0.000 .0733442 .1583801
_cons | .1044349 .0066811 15.63 0.000 .0913339 .1175359
--------------------------------------------------------------------------------
Linear regression Number of obs = 171
F(3, 170) = 0.53
Prob > F = 0.6610
R-squared = 0.0096
Root MSE = .39277
(Std. Err. adjusted for 171 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0591286 .1213649 0.49 0.627 -.1804477 .298705
MV1_female | -.0014722 .0061384 -0.24 0.811 -.0135894 .010645
femaleXMV1_female | .0040521 .0084588 0.48 0.633 -.0126457 .02075
_cons | .1298388 .0915149 1.42 0.158 -.0508131 .3104906
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,177 missing values generated)
(62,258 missing values generated)
(81 real changes made)
(sum of wgt is 414.8836518526077)
Linear regression Number of obs = 171
F(3, 170) = 0.64
Prob > F = 0.5934
R-squared = 0.0223
Root MSE = .37034
(Std. Err. adjusted for 171 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0815386 .1439559 -0.57 0.572 -.36571 .2026328
MV1_female | .0064262 .007474 0.86 0.391 -.0083276 .0211799
femaleXMV1_female | -.0023754 .0093872 -0.25 0.801 -.0209059 .0161551
_cons | .2428513 .1225301 1.98 0.049 .0009748 .4847277
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 8.34
Prob > F = 0.0039
R-squared = 0.0143
Root MSE = .35312
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0850189 .0294371 2.89 0.004 .0272926 .1427452
_cons | .1059521 .0071596 14.80 0.000 .091912 .1199921
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 404 .1113861 .3149998 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 2,097 .3738674 .4839445 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 25.28954 47.06263 .5373593
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 193.03
Prob > F = 0.0000
R-squared = 0.0421
Root MSE = .46091
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2624813 .0188922 -13.89 0.000 -.2995272 -.2254353
_cons | .3738674 .0105698 35.37 0.000 .353141 .3945939
--------------------------------------------------------------------------------
Linear regression Number of obs = 168
F(3, 167) = 3.52
Prob > F = 0.0164
R-squared = 0.0644
Root MSE = .39758
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1103658 .1279991 -0.86 0.390 -.3630706 .142339
MV1_female | -.0053975 .0070997 -0.76 0.448 -.0194143 .0086192
femaleXMV1_female | .004127 .0088097 0.47 0.640 -.0132657 .0215197
_cons | .2385829 .10668 2.24 0.027 .0279678 .4491981
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,180 missing values generated)
(62,261 missing values generated)
(81 real changes made)
(sum of wgt is 401.4037017822266)
Linear regression Number of obs = 168
F(3, 167) = 1.53
Prob > F = 0.2093
R-squared = 0.0344
Root MSE = .36714
(Std. Err. adjusted for 168 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2110289 .1449198 -1.46 0.147 -.49714 .0750821
MV1_female | .0108114 .0074829 1.44 0.150 -.0039618 .0255845
femaleXMV1_female | -.0138261 .0092579 -1.49 0.137 -.0321037 .0044515
_cons | .3718553 .1187019 3.13 0.002 .1375056 .606205
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 114.34
Prob > F = 0.0000
R-squared = 0.0968
Root MSE = .40439
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2646982 .0247542 -10.69 0.000 -.3132414 -.216155
_cons | .3693569 .011178 33.04 0.000 .3474367 .391277
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 404 .0420792 .2010188 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 2,097 .0567477 .2314151 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.34282 32.46955 .5033277
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 1.72
Prob > F = 0.1903
R-squared = 0.0006
Root MSE = .22679
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0146685 .0111982 -1.31 0.190 -.0366272 .0072902
_cons | .0567477 .0050543 11.23 0.000 .0468367 .0666588
--------------------------------------------------------------------------------
Linear regression Number of obs = 108
F(3, 107) = 0.68
Prob > F = 0.5641
R-squared = 0.0141
Root MSE = .24912
(Std. Err. adjusted for 108 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0306422 .0792694 -0.39 0.700 -.1877845 .1265001
MV1_female | -.0033927 .0079575 -0.43 0.671 -.0191676 .0123821
femaleXMV1_female | .0109607 .0099276 1.10 0.272 -.0087196 .0306409
_cons | .0360969 .070153 0.51 0.608 -.1029732 .175167
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,240 missing values generated)
(62,287 missing values generated)
(47 real changes made)
(sum of wgt is 207.0634707212448)
Linear regression Number of obs = 108
F(3, 107) = 0.48
Prob > F = 0.6983
R-squared = 0.0135
Root MSE = .23601
(Std. Err. adjusted for 108 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .011993 .0621343 0.19 0.847 -.111181 .135167
MV1_female | -.0021644 .0052078 -0.42 0.679 -.0124883 .0081594
femaleXMV1_female | .0074352 .0073145 1.02 0.312 -.007065 .0219354
_cons | .0204873 .0450683 0.45 0.650 -.0688553 .1098299
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 0.87
Prob > F = 0.3524
R-squared = 0.0008
Root MSE = .22261
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0128359 .0137994 -0.93 0.352 -.0398966 .0142248
_cons | .0586974 .0055832 10.51 0.000 .0477488 .069646
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 404 .0940594 .2922733 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 2,097 .096805 .2957625 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.99013 33.73861 .5035811
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 0.03
Prob > F = 0.8629
R-squared = 0.0000
Root MSE = .2952
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0027456 .0159003 -0.17 0.863 -.0339246 .0284335
_cons | .096805 .0064597 14.99 0.000 .084138 .1094719
--------------------------------------------------------------------------------
Linear regression Number of obs = 111
F(3, 110) = 4.08
Prob > F = 0.0086
R-squared = 0.0432
Root MSE = .32036
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2644872 .0950438 2.78 0.006 .0761328 .4528417
MV1_female | -.0143089 .0071693 -2.00 0.048 -.0285169 -.000101
femaleXMV1_female | .0039363 .0107754 0.37 0.716 -.0174179 .0252905
_cons | -.0400944 .0282968 -1.42 0.159 -.096172 .0159833
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,237 missing values generated)
(62,285 missing values generated)
(48 real changes made)
(sum of wgt is 212.3814735412598)
Linear regression Number of obs = 111
F(3, 110) = 3.71
Prob > F = 0.0137
R-squared = 0.0536
Root MSE = .29902
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2768312 .1016505 2.72 0.008 .0753837 .4782786
MV1_female | -.0118486 .0060748 -1.95 0.054 -.0238875 .0001903
femaleXMV1_female | -.0005971 .0101408 -0.06 0.953 -.0206938 .0194997
_cons | -.0347774 .0236444 -1.47 0.144 -.0816351 .0120804
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 7.97
Prob > F = 0.0048
R-squared = 0.0054
Root MSE = .27401
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0403584 .0142977 -2.82 0.005 -.0683964 -.0123204
_cons | .1023325 .0070378 14.54 0.000 .0885313 .1161337
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 404 .2425743 .4291712 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 2,097 .1478302 .3550163 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 441
----------------------+---------------------- NN matches = 3
Number of obs | 173 268 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.31589 39.4304 .5152342
----------------------------------------------
Linear regression Number of obs = 2,501
F(1, 2500) = 17.42
Prob > F = 0.0000
R-squared = 0.0089
Root MSE = .36799
(Std. Err. adjusted for 2,501 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .094744 .0226995 4.17 0.000 .0502322 .1392558
_cons | .1478302 .0077539 19.07 0.000 .1326255 .1630349
--------------------------------------------------------------------------------
Linear regression Number of obs = 135
F(3, 134) = 1.73
Prob > F = 0.1648
R-squared = 0.0364
Root MSE = .44449
(Std. Err. adjusted for 135 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2156556 .1636467 -1.32 0.190 -.5393202 .1080089
MV1_female | .0196501 .0088788 2.21 0.029 .0020895 .0372108
femaleXMV1_female | -.0243041 .0127514 -1.91 0.059 -.0495241 .0009159
_cons | .5136527 .1263852 4.06 0.000 .2636848 .7636207
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,213 missing values generated)
(62,274 missing values generated)
(61 real changes made)
(sum of wgt is 256.4801567792892)
Linear regression Number of obs = 135
F(3, 134) = 1.02
Prob > F = 0.3872
R-squared = 0.0226
Root MSE = .44496
(Std. Err. adjusted for 135 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0961868 .1836159 -0.52 0.601 -.4593471 .2669735
MV1_female | .014933 .0095858 1.56 0.122 -.0040261 .0338921
femaleXMV1_female | -.0194856 .014608 -1.33 0.184 -.0483777 .0094064
_cons | .4188879 .1379192 3.04 0.003 .1461078 .6916679
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,543.05243098736)
Linear regression Number of obs = 2,274
F(1, 2273) = 9.39
Prob > F = 0.0022
R-squared = 0.0316
Root MSE = .40683
(Std. Err. adjusted for 2,274 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1468586 .0479133 3.07 0.002 .0529003 .240817
_cons | .1451375 .0081876 17.73 0.000 .1290816 .1611935
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 406 .229064 .420749 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 2,099 .1276798 .3338125 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 174 269 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.685 99.971
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 8.587376 21.22002 .4046829
----------------------------------------------
Linear regression Number of obs = 2,505
F(1, 2504) = 21.05
Prob > F = 0.0000
R-squared = 0.0113
Root MSE = .34935
(Std. Err. adjusted for 2,505 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1013842 .0221 4.59 0.000 .0580479 .1447204
_cons | .1276798 .0072873 17.52 0.000 .1133901 .1419696
--------------------------------------------------------------------------------
Linear regression Number of obs = 54
F(2, 53) = .
Prob > F = .
R-squared = 0.0783
Root MSE = .13451
(Std. Err. adjusted for 54 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0417509 .0413145 -1.01 0.317 -.1246173 .0411155
MV1_female | -2.91e-17 6.80e-17 -0.43 0.670 -1.66e-16 1.07e-16
femaleXMV1_female | .0182539 .0177494 1.03 0.308 -.0173468 .0538546
_cons | -5.20e-17 . . . . .
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,304 missing values generated)
(62,322 missing values generated)
(18 real changes made)
(sum of wgt is 82.0562139749527)
Linear regression Number of obs = 45
F(2, 44) = .
Prob > F = .
R-squared = 0.0580
Root MSE = .11355
(Std. Err. adjusted for 45 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0364273 .0376501 -0.97 0.339 -.1123061 .0394515
MV1_female | -4.86e-17 . . . . .
femaleXMV1_female | .0141495 .0144026 0.98 0.331 -.014877 .0431761
_cons | -1.72e-16 . . . . .
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,071 missing values generated)
(61,989 missing values generated)
(1,918 real changes made)
(sum of wgt is 4,580.99417161942)
Linear regression Number of obs = 2,278
F(1, 2277) = 2.18
Prob > F = 0.1398
R-squared = 0.0025
Root MSE = .35145
(Std. Err. adjusted for 2,278 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .034992 .0236876 1.48 0.140 -.0114595 .0814434
_cons | .1270208 .0080342 15.81 0.000 .1112658 .1427759
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 184 .1847826 .3891801 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_NE | 2,089 .1574916 .3643509 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 14.12141 21.99806 .6419388
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.84
Prob > F = 0.3585
R-squared = 0.0004
Root MSE = .36641
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .027291 .029715 0.92 0.358 -.0309803 .0855623
_cons | .1574916 .0079733 19.75 0.000 .1418559 .1731273
--------------------------------------------------------------------------------
Linear regression Number of obs = 115
F(3, 114) = 0.15
Prob > F = 0.9274
R-squared = 0.0037
Root MSE = .38509
(Std. Err. adjusted for 115 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0193799 .1421861 -0.14 0.892 -.3010494 .2622897
MV1_female | -.0027413 .010439 -0.26 0.793 -.0234208 .0179382
femaleXMV1_female | .0013705 .0163649 0.08 0.933 -.0310482 .0337891
_cons | .167561 .0804937 2.08 0.040 .0081037 .3270184
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,237 missing values generated)
(62,320 missing values generated)
(83 real changes made)
(sum of wgt is 211.366708278656)
Linear regression Number of obs = 112
F(3, 111) = 0.32
Prob > F = 0.8088
R-squared = 0.0107
Root MSE = .36227
(Std. Err. adjusted for 112 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .061935 .1938653 0.32 0.750 -.3222221 .446092
MV1_female | -.0028828 .0104877 -0.27 0.784 -.0236648 .0178993
femaleXMV1_female | -.0083291 .0212204 -0.39 0.695 -.0503787 .0337205
_cons | .1513872 .0785513 1.93 0.057 -.0042674 .3070418
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.17
Prob > F = 0.6818
R-squared = 0.0002
Root MSE = .36378
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0114997 .0280433 -0.41 0.682 -.066495 .0434955
_cons | .1624387 .0084287 19.27 0.000 .1459093 .1789682
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 184 .201087 .4019065 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_MW | 2,089 .2589756 .4381771 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 13.4907 26.39683 .5110725
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 3.47
Prob > F = 0.0626
R-squared = 0.0013
Root MSE = .43537
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0578886 .0310776 -1.86 0.063 -.1188321 .0030549
_cons | .2589756 .0095889 27.01 0.000 .2401717 .2777795
--------------------------------------------------------------------------------
Linear regression Number of obs = 110
F(3, 109) = 7.91
Prob > F = 0.0001
R-squared = 0.0682
Root MSE = .42834
(Std. Err. adjusted for 110 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.3892076 .1086135 -3.58 0.001 -.604476 -.1739392
MV1_female | .0139482 .0127339 1.10 0.276 -.0112901 .0391865
femaleXMV1_female | -.0054724 .0148335 -0.37 0.713 -.0348719 .023927
_cons | .4038671 .103182 3.91 0.000 .1993637 .6083705
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,241 missing values generated)
(62,322 missing values generated)
(81 real changes made)
(sum of wgt is 204.4997228384018)
Linear regression Number of obs = 108
F(3, 107) = 2.01
Prob > F = 0.1171
R-squared = 0.0696
Root MSE = .4487
(Std. Err. adjusted for 108 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.3644887 .1561854 -2.33 0.021 -.674108 -.0548695
MV1_female | .0176363 .0114544 1.54 0.127 -.0050708 .0403434
femaleXMV1_female | .0240992 .0285083 0.85 0.400 -.0324152 .0806137
_cons | .3842564 .0987887 3.89 0.000 .1884192 .5800935
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.61
Prob > F = 0.4345
R-squared = 0.0016
Root MSE = .45006
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0365458 .0467547 0.78 0.435 -.055144 .1282356
_cons | .2647438 .0099689 26.56 0.000 .245194 .2842937
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 184 .375 .4854439 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_SO | 2,089 .3729057 .4836931 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.97725 30.86898 .6147675
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.00
Prob > F = 0.9552
R-squared = 0.0000
Root MSE = .48383
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0020943 .0372416 0.06 0.955 -.0709369 .0751255
_cons | .3729057 .0105849 35.23 0.000 .3521486 .3936628
--------------------------------------------------------------------------------
Linear regression Number of obs = 169
F(3, 168) = 1.20
Prob > F = 0.3109
R-squared = 0.0263
Root MSE = .41692
(Std. Err. adjusted for 169 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0820601 .1721357 0.48 0.634 -.2577677 .421888
MV1_female | -.0025151 .0069014 -0.36 0.716 -.0161397 .0111095
femaleXMV1_female | .0109776 .0152994 0.72 0.474 -.0192263 .0411814
_cons | .1642572 .074982 2.19 0.030 .0162288 .3122856
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,180 missing values generated)
(62,307 missing values generated)
(127 real changes made)
(sum of wgt is 336.6105136871338)
Linear regression Number of obs = 169
F(3, 168) = 0.45
Prob > F = 0.7158
R-squared = 0.0114
Root MSE = .40993
(Std. Err. adjusted for 169 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .053371 .168537 0.32 0.752 -.2793523 .3860942
MV1_female | -.0002119 .0085162 -0.02 0.980 -.0170244 .0166007
femaleXMV1_female | -.0088215 .0134775 -0.65 0.514 -.0354285 .0177855
_cons | .2346972 .0948438 2.47 0.014 .0474579 .4219364
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.29
Prob > F = 0.5918
R-squared = 0.0006
Root MSE = .47523
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.022734 .0423908 -0.54 0.592 -.1058659 .060398
_cons | .3553473 .0109113 32.57 0.000 .3339494 .3767452
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 184 .2391304 .4277164 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_WE | 2,089 .2106271 .4078516 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.14776 32.00386 .6295418
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.76
Prob > F = 0.3835
R-squared = 0.0004
Root MSE = .40949
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0285033 .0327013 0.87 0.384 -.0356242 .0926308
_cons | .2106271 .0089252 23.60 0.000 .1931246 .2281296
--------------------------------------------------------------------------------
Linear regression Number of obs = 187
F(3, 186) = 1.29
Prob > F = 0.2788
R-squared = 0.0224
Root MSE = .4742
(Std. Err. adjusted for 187 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .332718 .1737485 1.91 0.057 -.0100531 .6754891
MV1_female | -.0034931 .0065744 -0.53 0.596 -.0164631 .0094769
femaleXMV1_female | -.0127916 .0133446 -0.96 0.339 -.0391178 .0135346
_cons | .2767499 .079765 3.47 0.001 .1193896 .4341103
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,162 missing values generated)
(62,302 missing values generated)
(140 real changes made)
(sum of wgt is 371.3206034898758)
Linear regression Number of obs = 187
F(3, 186) = 1.74
Prob > F = 0.1611
R-squared = 0.0388
Root MSE = .45131
(Std. Err. adjusted for 187 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2357373 .1822044 1.29 0.197 -.1237155 .5951901
MV1_female | -.0049604 .0070289 -0.71 0.481 -.0188269 .0089061
femaleXMV1_female | -.0153811 .0129625 -1.19 0.237 -.0409534 .0101912
_cons | .2705892 .0828468 3.27 0.001 .1071491 .4340293
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.00
Prob > F = 0.9450
R-squared = 0.0000
Root MSE = .41195
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0023121 .0335119 -0.07 0.945 -.0680317 .0634075
_cons | .2174702 .0094132 23.10 0.000 .1990101 .2359302
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 184 5.361712 4.461962 .1025148 21.52691
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_black | 2,089 7.169979 7.862419 .0669269 64.15747
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 21.83817 32.70763 .6676783
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 23.81
Prob > F = 0.0000
R-squared = 0.0041
Root MSE = 7.6446
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.808267 .3705566 -4.88 0.000 -2.534932 -1.081602
_cons | 7.169979 .1720577 41.67 0.000 6.832572 7.507385
--------------------------------------------------------------------------------
Linear regression Number of obs = 210
F(3, 209) = 0.38
Prob > F = 0.7677
R-squared = 0.0054
Root MSE = 6.9434
(Std. Err. adjusted for 210 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.454149 2.378443 -1.03 0.303 -7.142962 2.234664
MV1_female | .0313453 .0826454 0.38 0.705 -.1315801 .1942707
femaleXMV1_female | .0757056 .1626319 0.47 0.642 -.2449036 .3963148
_cons | 6.329846 1.113833 5.68 0.000 4.134058 8.525634
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,139 missing values generated)
(62,296 missing values generated)
(157 real changes made)
(sum of wgt is 421.1004084348679)
Linear regression Number of obs = 210
F(3, 209) = 0.80
Prob > F = 0.4931
R-squared = 0.0172
Root MSE = 5.9617
(Std. Err. adjusted for 210 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -3.204226 2.1211 -1.51 0.132 -7.385719 .9772664
MV1_female | .0616302 .0810815 0.76 0.448 -.0982121 .2214725
femaleXMV1_female | .104952 .1490347 0.70 0.482 -.188852 .3987559
_cons | 6.543225 1.146155 5.71 0.000 4.283718 8.802732
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 4.30
Prob > F = 0.0383
R-squared = 0.0070
Root MSE = 6.484
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.089022 .5253261 -2.07 0.038 -2.119231 -.0588138
_cons | 6.940044 .1687079 41.14 0.000 6.609194 7.270895
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 184 72.86839 22.00755 0 100
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_urban | 2,089 64.0084 25.93384 0 100
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.99772 31.70903 .5991263
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 26.68
Prob > F = 0.0000
R-squared = 0.0088
Root MSE = 25.64
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 8.859986 1.715321 5.17 0.000 5.496228 12.22374
_cons | 64.0084 .5675247 112.79 0.000 62.89548 65.12132
--------------------------------------------------------------------------------
Linear regression Number of obs = 169
F(3, 168) = 0.46
Prob > F = 0.7119
R-squared = 0.0081
Root MSE = 26.971
(Std. Err. adjusted for 169 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -8.167029 9.569389 -0.85 0.395 -27.05878 10.72472
MV1_female | .4633779 .4320328 1.07 0.285 -.3895349 1.316291
femaleXMV1_female | -.2932616 .806096 -0.36 0.716 -1.884644 1.298121
_cons | 71.73153 4.816157 14.89 0.000 62.22355 81.23952
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,180 missing values generated)
(62,307 missing values generated)
(127 real changes made)
(sum of wgt is 336.6105136871338)
Linear regression Number of obs = 169
F(3, 168) = 1.51
Prob > F = 0.2133
R-squared = 0.0569
Root MSE = 26.534
(Std. Err. adjusted for 169 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -12.08042 10.96813 -1.10 0.272 -33.73355 9.572703
MV1_female | .5923561 .4246274 1.40 0.165 -.2459369 1.430649
femaleXMV1_female | .6115209 .9544146 0.64 0.523 -1.27267 2.495712
_cons | 72.5665 4.538456 15.99 0.000 63.60675 81.52625
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.08
Prob > F = 0.7780
R-squared = 0.0003
Root MSE = 26.501
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .9133202 3.238724 0.28 0.778 -5.438088 7.264728
_cons | 65.07086 .5844339 111.34 0.000 63.92474 66.21699
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 184 9.492086 12.39576 .6645144 56.85267
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_for_born | 2,089 6.103415 6.6542 .2187925 56.585
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 11.94153 23.59652 .5060719
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 13.47
Prob > F = 0.0002
R-squared = 0.0159
Root MSE = 7.2864
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 3.388671 .9232973 3.67 0.000 1.578077 5.199265
_cons | 6.103415 .1456176 41.91 0.000 5.817857 6.388972
--------------------------------------------------------------------------------
Linear regression Number of obs = 103
F(3, 102) = 1.01
Prob > F = 0.3933
R-squared = 0.0170
Root MSE = 5.7686
(Std. Err. adjusted for 103 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -3.16848 2.207743 -1.44 0.154 -7.547527 1.210568
MV1_female | .0167201 .2221093 0.08 0.940 -.4238327 .4572729
femaleXMV1_female | .2711764 .3010959 0.90 0.370 -.3260459 .8683986
_cons | 7.639938 1.497142 5.10 0.000 4.670364 10.60951
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,248 missing values generated)
(62,324 missing values generated)
(76 real changes made)
(sum of wgt is 189.225909948349)
Linear regression Number of obs = 101
F(3, 100) = 0.29
Prob > F = 0.8294
R-squared = 0.0165
Root MSE = 5.1974
(Std. Err. adjusted for 101 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.810359 2.525782 -0.72 0.475 -6.821438 3.20072
MV1_female | -.0216841 .2012692 -0.11 0.914 -.4209964 .3776282
femaleXMV1_female | .2802369 .3498817 0.80 0.425 -.4139185 .9743922
_cons | 7.138418 1.373457 5.20 0.000 4.413518 9.863319
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.01
Prob > F = 0.9325
R-squared = 0.0000
Root MSE = 7.5723
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0479289 .5654446 0.08 0.932 -1.060955 1.156813
_cons | 6.369005 .1673018 38.07 0.000 6.040912 6.697098
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 184 13.46869 4.778687 7.605162 38.99562
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
pct_age_o~65 | 2,089 13.38523 4.310861 4.116681 43.80611
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 10.50729 21.63653 .4856275
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.05
Prob > F = 0.8186
R-squared = 0.0000
Root MSE = 4.3504
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0834669 .3639252 0.23 0.819 -.6301936 .7971273
_cons | 13.38523 .094337 141.89 0.000 13.20023 13.57022
--------------------------------------------------------------------------------
Linear regression Number of obs = 88
F(3, 87) = 0.50
Prob > F = 0.6861
R-squared = 0.0333
Root MSE = 4.0357
(Std. Err. adjusted for 88 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -1.777918 1.92425 -0.92 0.358 -5.602573 2.046736
MV1_female | .2260918 .2194733 1.03 0.306 -.2101353 .6623188
femaleXMV1_female | -.2949437 .3717651 -0.79 0.430 -1.033867 .4439797
_cons | 14.80157 1.511391 9.79 0.000 11.79751 17.80562
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,263 missing values generated)
(62,329 missing values generated)
(66 real changes made)
(sum of wgt is 144.9738084077835)
Linear regression Number of obs = 86
F(3, 85) = 0.26
Prob > F = 0.8534
R-squared = 0.0227
Root MSE = 4.1954
(Std. Err. adjusted for 86 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.7031855 2.072564 -0.34 0.735 -4.823998 3.417627
MV1_female | .1466083 .2036579 0.72 0.474 -.2583182 .5515349
femaleXMV1_female | -.302429 .4174869 -0.72 0.471 -1.132505 .5276468
_cons | 14.14991 1.379888 10.25 0.000 11.40633 16.8935
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.18
Prob > F = 0.6681
R-squared = 0.0003
Root MSE = 4.3385
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1467012 .342083 -0.43 0.668 -.8175546 .5241522
_cons | 13.4518 .1016227 132.37 0.000 13.25251 13.65109
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 184 10.29361 .3553059 9.595807 11.06974
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lninc | 2,089 10.26055 .3131215 9.356862 11.05996
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.32716 28.27446 .5774526
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 1.50
Prob > F = 0.2212
R-squared = 0.0008
Root MSE = .31673
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0330635 .0270171 1.22 0.221 -.0199173 .0860442
_cons | 10.26055 .0068522 1497.41 0.000 10.24711 10.27399
--------------------------------------------------------------------------------
Linear regression Number of obs = 138
F(3, 137) = 4.29
Prob > F = 0.0063
R-squared = 0.0670
Root MSE = .30856
(Std. Err. adjusted for 138 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0972852 .1334927 -0.73 0.467 -.3612577 .1666874
MV1_female | .0103738 .0064885 1.60 0.112 -.0024568 .0232045
femaleXMV1_female | -.025608 .012233 -2.09 0.038 -.0497979 -.0014182
_cons | 10.42955 .0619232 168.43 0.000 10.3071 10.552
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,215 missing values generated)
(62,316 missing values generated)
(101 real changes made)
(sum of wgt is 260.8832830190659)
Linear regression Number of obs = 134
F(3, 133) = 0.88
Prob > F = 0.4554
R-squared = 0.0164
Root MSE = .30281
(Std. Err. adjusted for 134 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0074831 .1695417 0.04 0.965 -.3278639 .3428301
MV1_female | .0091218 .0059818 1.52 0.130 -.0027099 .0209535
femaleXMV1_female | -.0157173 .0165076 -0.95 0.343 -.0483687 .0169342
_cons | 10.40444 .0597514 174.13 0.000 10.28626 10.52263
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.00
Prob > F = 0.9803
R-squared = 0.0000
Root MSE = .32526
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0006953 .0282082 -0.02 0.980 -.0560139 .0546232
_cons | 10.26302 .0072109 1423.27 0.000 10.24888 10.27716
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 184 -1.144714 7.831109 -13.14081 9.09557
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lnpden | 2,089 -.1682557 7.281027 -14.67538 11.20875
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 9.474291 16.23306 .5836416
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 2.67
Prob > F = 0.1024
R-squared = 0.0013
Root MSE = 7.3269
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.976458 .5976312 -1.63 0.102 -2.148418 .1955019
_cons | -.1682557 .1593348 -1.06 0.291 -.4807126 .1442012
--------------------------------------------------------------------------------
Linear regression Number of obs = 75
F(3, 74) = 0.06
Prob > F = 0.9790
R-squared = 0.0029
Root MSE = 7.3266
(Std. Err. adjusted for 75 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2655498 3.784574 0.07 0.944 -7.275379 7.806478
MV1_female | .0512777 .3757846 0.14 0.892 -.6974895 .8000448
femaleXMV1_female | -.2718949 .7339454 -0.37 0.712 -1.734313 1.190523
_cons | 1.022718 1.947871 0.53 0.601 -2.858499 4.903935
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,281 missing values generated)
(62,333 missing values generated)
(52 real changes made)
(sum of wgt is 109.1740713119507)
Linear regression Number of obs = 68
F(3, 67) = 0.23
Prob > F = 0.8773
R-squared = 0.0138
Root MSE = 6.6608
(Std. Err. adjusted for 68 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -2.602894 3.711816 -0.70 0.486 -10.01171 4.805922
MV1_female | .1787394 .3993982 0.45 0.656 -.6184628 .9759417
femaleXMV1_female | .1967857 .6731622 0.29 0.771 -1.146852 1.540423
_cons | 3.075511 2.024285 1.52 0.133 -.9649797 7.116001
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 1.45
Prob > F = 0.2284
R-squared = 0.0029
Root MSE = 7.4545
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.8063438 .6692916 -1.20 0.228 -2.118881 .506193
_cons | -.1602632 .1669582 -0.96 0.337 -.4876822 .1671557
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 133 .3699059 .1320743 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
lag_demsha~1 | 1,441 .346 .1447142 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 327
----------------------+---------------------- NN matches = 3
Number of obs | 235 92 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 54.543 54.334
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 16.49337 25.52374 .6461974
----------------------------------------------
Linear regression Number of obs = 1,574
F(1, 1573) = 3.94
Prob > F = 0.0472
R-squared = 0.0021
Root MSE = .1437
(Std. Err. adjusted for 1,574 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0239059 .0120364 1.99 0.047 .0002967 .0475151
_cons | .346 .0038133 90.73 0.000 .3385202 .3534797
--------------------------------------------------------------------------------
Linear regression Number of obs = 111
F(3, 110) = 1.49
Prob > F = 0.2206
R-squared = 0.0280
Root MSE = .12527
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0721987 .0536843 1.34 0.181 -.034191 .1785883
MV1_female | .0002548 .0035352 0.07 0.943 -.0067512 .0072609
femaleXMV1_female | -.00388 .0046578 -0.83 0.407 -.0131107 .0053506
_cons | .4030738 .0379383 10.62 0.000 .327889 .4782586
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,209 missing values generated)
(62,315 missing values generated)
(106 real changes made)
(sum of wgt is 203.6852586269379)
Linear regression Number of obs = 111
F(3, 110) = 1.40
Prob > F = 0.2475
R-squared = 0.0417
Root MSE = .11138
(Std. Err. adjusted for 111 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0605082 .0571671 1.06 0.292 -.0527836 .1737999
MV1_female | .0003151 .003433 0.09 0.927 -.0064883 .0071186
femaleXMV1_female | -.0026794 .0052636 -0.51 0.612 -.0131107 .0077519
_cons | .4007019 .0364905 10.98 0.000 .3283862 .4730175
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 2,910.36614406109)
Linear regression Number of obs = 1,469
F(1, 1468) = 2.10
Prob > F = 0.1472
R-squared = 0.0044
Root MSE = .13104
(Std. Err. adjusted for 1,469 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0173652 .0119731 1.45 0.147 -.0061211 .0408514
_cons | .3516022 .0038353 91.68 0.000 .3440791 .3591254
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 184 26.82783 20.82941 0 86.03178
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
DSpndPct | 2,089 25.44121 21.20946 0 99.50506
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 14.48487 24.08867 .6013147
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.75
Prob > F = 0.3865
R-squared = 0.0003
Root MSE = 21.179
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.386623 1.600823 0.87 0.386 -1.752604 4.52585
_cons | 25.44121 .4641384 54.81 0.000 24.53103 26.35138
--------------------------------------------------------------------------------
Linear regression Number of obs = 119
F(3, 118) = 2.70
Prob > F = 0.0489
R-squared = 0.0556
Root MSE = 15.573
(Std. Err. adjusted for 119 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .5624016 6.134425 0.09 0.927 -11.58543 12.71023
MV1_female | .8113177 .4040695 2.01 0.047 .0111502 1.611485
femaleXMV1_female | -1.822137 .6862951 -2.66 0.009 -3.181188 -.4630857
_cons | 47.1701 2.924933 16.13 0.000 41.37794 52.96227
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,233 missing values generated)
(62,318 missing values generated)
(85 real changes made)
(sum of wgt is 219.0719569921494)
Linear regression Number of obs = 116
F(3, 115) = 3.02
Prob > F = 0.0327
R-squared = 0.0682
Root MSE = 14.009
(Std. Err. adjusted for 116 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1086454 5.452608 0.02 0.984 -10.69192 10.90921
MV1_female | .7197987 .4188709 1.72 0.088 -.1099039 1.549501
femaleXMV1_female | -1.750416 .6521998 -2.68 0.008 -3.042298 -.4585334
_cons | 47.58229 3.038204 15.66 0.000 41.56419 53.60038
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 3.03
Prob > F = 0.0816
R-squared = 0.0064
Root MSE = 20.838
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 3.34438 1.919802 1.74 0.082 -.4205115 7.109271
_cons | 23.79666 .4726035 50.35 0.000 22.86985 24.72348
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 180 .2878502 .2175798 .001182 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
absMV | 1,941 .3365989 .2457196 .0003493 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 11.1804 16.73819 .6679579
----------------------------------------------
Linear regression Number of obs = 2,121
F(1, 2120) = 8.11
Prob > F = 0.0044
R-squared = 0.0031
Root MSE = .24347
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0487487 .0171146 -2.85 0.004 -.082312 -.0151855
_cons | .3365989 .0055785 60.34 0.000 .3256589 .3475389
--------------------------------------------------------------------------------
Linear regression Number of obs = 96
F(0, 95) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 96 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 5.73e-10 4.55e-10 1.26 0.211 -3.30e-10 1.48e-09
MV1_female | -.01 9.28e-11 -1.1e+08 0.000 -.01 -.01
femaleXMV1_female | .02 1.27e-10 1.6e+08 0.000 .02 .02
_cons | -3.83e-10 3.33e-10 -1.15 0.253 -1.04e-09 2.78e-10
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,255 missing values generated)
(62,325 missing values generated)
(70 real changes made)
(sum of wgt is 175.9364014863968)
Linear regression Number of obs = 94
F(1, 93) = .
Prob > F = .
R-squared = 1.0000
Root MSE = 0
(Std. Err. adjusted for 94 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 2.47e-10 4.99e-10 0.49 0.622 -7.44e-10 1.24e-09
MV1_female | -.01 8.56e-11 -1.2e+08 0.000 -.01 -.01
femaleXMV1_female | .02 1.14e-10 1.7e+08 0.000 .02 .02
_cons | -4.20e-10 3.14e-10 -1.34 0.184 -1.04e-09 2.03e-10
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.28
Prob > F = 0.5979
R-squared = 0.0008
Root MSE = .23934
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0132413 .0251042 -0.53 0.598 -.0624728 .0359901
_cons | .3321642 .0054573 60.87 0.000 .321462 .3428663
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 184 0 0 0 0
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_de~t | 2,089 0 0 0 0
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | . . .
----------------------------------------------
Linear regression Number of obs = 2,273
F(0, 2272) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
_cons | 0 (omitted)
--------------------------------------------------------------------------------
Linear regression Number of obs = 455
F(0, 454) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 455 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 0 (omitted)
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,076 missing values generated)
(62,165 missing values generated)
(2,089 real changes made)
(sum of wgt is 1,914.27638936043)
Linear regression Number of obs = 455
F(0, 454) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 455 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 0 (omitted)
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(0, 2120) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
_cons | 0 (omitted)
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 184 4.016304 2.53818 1 12
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_te~n | 2,089 5.182384 3.58981 1 20
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 15.10671 26.15338 .5776198
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 33.14
Prob > F = 0.0000
R-squared = 0.0081
Root MSE = 3.5167
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.16608 .2025451 -5.76 0.000 -1.563272 -.7688869
_cons | 5.182384 .0785578 65.97 0.000 5.028331 5.336437
--------------------------------------------------------------------------------
Linear regression Number of obs = 126
F(3, 125) = 0.85
Prob > F = 0.4701
R-squared = 0.0269
Root MSE = 3.5289
(Std. Err. adjusted for 126 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .6860732 1.167849 0.59 0.558 -1.625246 2.997392
MV1_female | -.1429493 .0954338 -1.50 0.137 -.3318246 .0459259
femaleXMV1_female | .1308419 .1350344 0.97 0.334 -.1364079 .3980916
_cons | 2.69375 .7141607 3.77 0.000 1.280337 4.107163
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,226 missing values generated)
(62,317 missing values generated)
(91 real changes made)
(sum of wgt is 238.6218556165695)
Linear regression Number of obs = 123
F(3, 122) = 0.65
Prob > F = 0.5839
R-squared = 0.0178
Root MSE = 3.2186
(Std. Err. adjusted for 123 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .3612093 1.490346 0.24 0.809 -2.589079 3.311498
MV1_female | -.1257872 .0958855 -1.31 0.192 -.3156021 .0640277
femaleXMV1_female | .195558 .1761861 1.11 0.269 -.15322 .5443359
_cons | 2.571523 .7057805 3.64 0.000 1.17436 3.968686
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 55.55
Prob > F = 0.0000
R-squared = 0.0546
Root MSE = 3.0171
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -1.44991 .1945338 -7.45 0.000 -1.831408 -1.068413
_cons | 5.137329 .0821124 62.56 0.000 4.976299 5.298358
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 184 .173913 .3800689 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_ro~e | 2,089 .1464816 .353673 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 20.04523 31.77136 .6309215
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 0.89
Prob > F = 0.3444
R-squared = 0.0004
Root MSE = .35587
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0274315 .0290067 0.95 0.344 -.029451 .0843139
_cons | .1464816 .0077396 18.93 0.000 .1313041 .161659
--------------------------------------------------------------------------------
Linear regression Number of obs = 183
F(3, 182) = 4.07
Prob > F = 0.0080
R-squared = 0.0605
Root MSE = .46201
(Std. Err. adjusted for 183 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2564369 .1726215 -1.49 0.139 -.5970336 .0841598
MV1_female | .0226456 .0064983 3.48 0.001 .0098239 .0354673
femaleXMV1_female | -.0219197 .0136423 -1.61 0.110 -.0488372 .0049978
_cons | .574464 .0853534 6.73 0.000 .4060547 .7428734
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,166 missing values generated)
(62,303 missing values generated)
(137 real changes made)
(sum of wgt is 364.826892375946)
Linear regression Number of obs = 183
F(3, 182) = 4.50
Prob > F = 0.0045
R-squared = 0.0555
Root MSE = .45417
(Std. Err. adjusted for 183 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2597209 .2024682 -1.28 0.201 -.6592076 .1397658
MV1_female | .0241309 .0067159 3.59 0.000 .01088 .0373819
femaleXMV1_female | -.0305314 .015473 -1.97 0.050 -.061061 -1.83e-06
_cons | .6071401 .087275 6.96 0.000 .4349391 .779341
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 0.23
Prob > F = 0.6331
R-squared = 0.0004
Root MSE = .36817
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0148623 .0311287 0.48 0.633 -.0461837 .0759082
_cons | .154357 .0082552 18.70 0.000 .1381678 .1705462
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 183 55.01639 9.489425 32 80
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
sponsor_age | 2,089 53.23169 10.0769 27 86
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 454
----------------------+---------------------- NN matches = 3
Number of obs | 326 128 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 13.80724 23.91952 .5772371
----------------------------------------------
Linear regression Number of obs = 2,272
F(1, 2271) = 5.92
Prob > F = 0.0151
R-squared = 0.0023
Root MSE = 10.031
(Std. Err. adjusted for 2,272 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.784704 .7337866 2.43 0.015 .3457415 3.223666
_cons | 53.23169 .2205186 241.39 0.000 52.79925 53.66413
--------------------------------------------------------------------------------
Linear regression Number of obs = 113
F(3, 112) = 1.75
Prob > F = 0.1615
R-squared = 0.0411
Root MSE = 10.341
(Std. Err. adjusted for 113 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 5.465748 3.508571 1.56 0.122 -1.486036 12.41753
MV1_female | -.2992678 .2921269 -1.02 0.308 -.8780799 .2795442
femaleXMV1_female | .4163619 .4424472 0.94 0.349 -.4602906 1.293014
_cons | 47.59823 2.209594 21.54 0.000 43.2202 51.97625
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,238 missing values generated)
(62,321 missing values generated)
(83 real changes made)
(sum of wgt is 206.7682293653488)
Linear regression Number of obs = 110
F(3, 109) = 1.63
Prob > F = 0.1859
R-squared = 0.1432
Root MSE = 10.709
(Std. Err. adjusted for 110 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 1.978609 4.305955 0.46 0.647 -6.555653 10.51287
MV1_female | -.3530263 .3030507 -1.16 0.247 -.953663 .2476104
femaleXMV1_female | 1.33518 .7030159 1.90 0.060 -.0581746 2.728535
_cons | 47.27579 2.337659 20.22 0.000 42.64263 51.90896
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,121.26808106899)
Linear regression Number of obs = 2,120
F(1, 2119) = 4.81
Prob > F = 0.0285
R-squared = 0.0067
Root MSE = 9.4504
(Std. Err. adjusted for 2,120 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | 1.554889 .7092137 2.19 0.028 .1640611 2.945717
_cons | 53.01837 .2288479 231.68 0.000 52.56958 53.46716
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 184 .0326087 .1780948 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
leader | 2,089 .1134514 .3172197 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 14.49538 29.24782 .4956054
----------------------------------------------
Linear regression Number of obs = 2,273
F(1, 2272) = 29.74
Prob > F = 0.0000
R-squared = 0.0051
Root MSE = .30834
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0808427 .0148251 -5.45 0.000 -.1099148 -.0517706
_cons | .1134514 .0069419 16.34 0.000 .0998383 .1270645
--------------------------------------------------------------------------------
Linear regression Number of obs = 119
F(3, 118) = 1.60
Prob > F = 0.1927
R-squared = 0.0224
Root MSE = .20179
(Std. Err. adjusted for 119 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0298025 .0491716 -0.61 0.546 -.1271757 .0675706
MV1_female | -.0067185 .0063113 -1.06 0.289 -.0192165 .0057796
femaleXMV1_female | .0146812 .0100263 1.46 0.146 -.0051735 .034536
_cons | -.0010043 .0379233 -0.03 0.979 -.0761029 .0740942
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,233 missing values generated)
(62,318 missing values generated)
(85 real changes made)
(sum of wgt is 219.0719569921494)
Linear regression Number of obs = 116
F(3, 115) = 1.52
Prob > F = 0.2137
R-squared = 0.0216
Root MSE = .16795
(Std. Err. adjusted for 116 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0311849 .0456651 -0.68 0.496 -.1216387 .0592689
MV1_female | -.0051184 .0053659 -0.95 0.342 -.0157473 .0055104
femaleXMV1_female | .0115034 .0083349 1.38 0.170 -.0050065 .0280132
_cons | .0013796 .0339528 0.04 0.968 -.0658743 .0686335
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(1, 2120) = 35.67
Prob > F = 0.0000
R-squared = 0.0278
Root MSE = .25146
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
leader | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0850238 .0142358 -5.97 0.000 -.1129415 -.0571062
_cons | .1111996 .0071471 15.56 0.000 .0971834 .1252157
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 183 .3551913 .4798842 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
borninstate | 2,078 .686718 .4639396 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 451
----------------------+---------------------- NN matches = 3
Number of obs | 323 128 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 21.21164 33.83736 .6268704
----------------------------------------------
Linear regression Number of obs = 2,261
F(1, 2260) = 81.04
Prob > F = 0.0000
R-squared = 0.0364
Root MSE = .46524
(Std. Err. adjusted for 2,261 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.3315267 .0368275 -9.00 0.000 -.4037459 -.2593075
_cons | .686718 .0101795 67.46 0.000 .6667559 .7066801
--------------------------------------------------------------------------------
Linear regression Number of obs = 199
F(3, 198) = 4.33
Prob > F = 0.0055
R-squared = 0.0632
Root MSE = .48211
(Std. Err. adjusted for 199 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.3047403 .1698845 -1.79 0.074 -.6397554 .0302749
MV1_female | .0024335 .0062627 0.39 0.698 -.0099165 .0147836
femaleXMV1_female | -.0032281 .0126911 -0.25 0.799 -.0282552 .0217989
_cons | .6815286 .0818997 8.32 0.000 .5200211 .8430362
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,146 missing values generated)
(62,299 missing values generated)
(153 real changes made)
(sum of wgt is 405.8521195650101)
Linear regression Number of obs = 199
F(3, 198) = 0.68
Prob > F = 0.5662
R-squared = 0.0259
Root MSE = .49517
(Std. Err. adjusted for 199 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.2460272 .2208231 -1.11 0.267 -.6814942 .1894399
MV1_female | .0008694 .006672 0.13 0.896 -.0122879 .0140267
femaleXMV1_female | .005985 .0158655 0.38 0.706 -.0253021 .0372721
_cons | .6449601 .0883639 7.30 0.000 .4707049 .8192153
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,111.02509236336)
Linear regression Number of obs = 2,109
F(1, 2108) = 87.83
Prob > F = 0.0000
R-squared = 0.1347
Root MSE = .46533
(Std. Err. adjusted for 2,109 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.3671196 .0391739 -9.37 0.000 -.4439432 -.290296
_cons | .6799798 .0106829 63.65 0.000 .6590295 .70093
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 183 .0437158 .2050231 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
ivycoll | 2,068 .0749516 .263377 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 447
----------------------+---------------------- NN matches = 3
Number of obs | 319 128 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 7.359556 20.10461 .3660631
----------------------------------------------
Linear regression Number of obs = 2,251
F(1, 2250) = 3.72
Prob > F = 0.0539
R-squared = 0.0011
Root MSE = .25914
(Std. Err. adjusted for 2,251 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0312358 .0161926 -1.93 0.054 -.0629899 .0005183
_cons | .0749516 .0057928 12.94 0.000 .0635918 .0863115
--------------------------------------------------------------------------------
Linear regression Number of obs = 55
F(1, 54) = .
Prob > F = .
R-squared = 0.0403
Root MSE = .19044
(Std. Err. adjusted for 55 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0210832 .0325762 0.65 0.520 -.0442282 .0863946
MV1_female | -.0195593 .0162138 -1.21 0.233 -.052066 .0129474
femaleXMV1_female | .0195593 .0162138 1.21 0.233 -.0129474 .052066
_cons | -.0210832 .0325762 -0.65 0.520 -.0863946 .0442282
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,310 missing values generated)
(62,337 missing values generated)
(27 real changes made)
(sum of wgt is 60.99336361885071)
Linear regression Number of obs = 36
F(1, 35) = .
Prob > F = .
R-squared = 0.0159
Root MSE = .13461
(Std. Err. adjusted for 36 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0050861 .0143776 -0.35 0.726 -.0342742 .024102
MV1_female | -.0066349 .0086863 -0.76 0.450 -.024269 .0109991
femaleXMV1_female | .0066349 .0086863 0.76 0.450 -.0109991 .024269
_cons | .0050861 .0143776 0.35 0.726 -.024102 .0342742
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,099.81516182423)
Linear regression Number of obs = 2,099
F(1, 2098) = 12.18
Prob > F = 0.0005
R-squared = 0.0098
Root MSE = .22252
(Std. Err. adjusted for 2,099 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0442178 .0126724 -3.49 0.000 -.0690696 -.019366
_cons | .0743215 .0059905 12.41 0.000 .0625737 .0860694
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 177 .1864407 .3905667 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ0 | 2,068 .1310445 .3375306 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.86732 27.10865 .6591
----------------------------------------------
Linear regression Number of obs = 2,245
F(1, 2244) = 3.36
Prob > F = 0.0669
R-squared = 0.0019
Root MSE = .34199
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0553962 .0302131 1.83 0.067 -.0038523 .1146447
_cons | .1310445 .0074238 17.65 0.000 .1164862 .1456027
--------------------------------------------------------------------------------
Linear regression Number of obs = 156
F(3, 155) = 1.07
Prob > F = 0.3631
R-squared = 0.0325
Root MSE = .32589
(Std. Err. adjusted for 156 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1962526 .1649652 1.19 0.236 -.1296175 .5221228
MV1_female | .0042342 .0053197 0.80 0.427 -.0062742 .0147427
femaleXMV1_female | -.0196371 .0134486 -1.46 0.146 -.0462033 .0069292
_cons | .1418649 .0631684 2.25 0.026 .0170827 .266647
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,185 missing values generated)
(62,309 missing values generated)
(124 real changes made)
(sum of wgt is 273.2041857242584)
Linear regression Number of obs = 156
F(3, 155) = 1.65
Prob > F = 0.1804
R-squared = 0.1407
Root MSE = .36632
(Std. Err. adjusted for 156 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .4287508 .2426434 1.77 0.079 -.0505638 .9080654
MV1_female | .0044948 .0048479 0.93 0.355 -.0050817 .0140714
femaleXMV1_female | -.0304969 .0154458 -1.97 0.050 -.0610084 .0000146
_cons | .1316933 .0587962 2.24 0.027 .015548 .2478386
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(1, 2092) = 2.74
Prob > F = 0.0983
R-squared = 0.0055
Root MSE = .35848
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0535726 .0323884 1.65 0.098 -.0099444 .1170895
_cons | .1265051 .0075583 16.74 0.000 .1116826 .1413277
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 177 .1977401 .399425 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ1 | 2,068 .065764 .2479291 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 9.706917 17.47294 .5555399
----------------------------------------------
Linear regression Number of obs = 2,245
F(1, 2244) = 18.79
Prob > F = 0.0000
R-squared = 0.0180
Root MSE = .26299
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .1319761 .0304434 4.34 0.000 .0722759 .1916763
_cons | .065764 .0054531 12.06 0.000 .0550704 .0764576
--------------------------------------------------------------------------------
Linear regression Number of obs = 74
F(3, 73) = 0.32
Prob > F = 0.8107
R-squared = 0.0157
Root MSE = .27844
(Std. Err. adjusted for 74 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .1417388 .1648867 0.86 0.393 -.1868799 .4703575
MV1_female | -.0089902 .0132554 -0.68 0.500 -.0354081 .0174277
femaleXMV1_female | -.0021462 .0269727 -0.08 0.937 -.0559027 .0516104
_cons | .0277637 .0614532 0.45 0.653 -.0947123 .1502397
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,275 missing values generated)
(62,332 missing values generated)
(57 real changes made)
(sum of wgt is 117.960702419281)
Linear regression Number of obs = 70
F(3, 69) = 0.60
Prob > F = 0.6184
R-squared = 0.0838
Root MSE = .28093
(Std. Err. adjusted for 70 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .2976748 .2442409 1.22 0.227 -.1895725 .7849221
MV1_female | -.0060581 .0109496 -0.55 0.582 -.0279019 .0157856
femaleXMV1_female | -.0247592 .036129 -0.69 0.495 -.0968346 .0473162
_cons | .0157343 .0491852 0.32 0.750 -.0823875 .113856
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(1, 2092) = 4.44
Prob > F = 0.0353
R-squared = 0.0070
Root MSE = .28325
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .0474579 .0225348 2.11 0.035 .0032649 .0916509
_cons | .0657119 .005671 11.59 0.000 .0545906 .0768333
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 177 .0282486 .1661523 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ2 | 2,068 .2751451 .4466954 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.55801 31.7857 .552387
----------------------------------------------
Linear regression Number of obs = 2,245
F(1, 2244) = 242.13
Prob > F = 0.0000
R-squared = 0.0233
Root MSE = .43133
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2468965 .0158667 -15.56 0.000 -.2780115 -.2157815
_cons | .2751451 .0098248 28.01 0.000 .2558784 .2944118
--------------------------------------------------------------------------------
Linear regression Number of obs = 153
F(1, 152) = .
Prob > F = .
R-squared = 0.0583
Root MSE = .35762
(Std. Err. adjusted for 153 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1811667 .0715565 -2.53 0.012 -.3225403 -.039793
MV1_female | -.0025089 .0065941 -0.38 0.704 -.0155368 .010519
femaleXMV1_female | .0025089 .0065941 0.38 0.704 -.010519 .0155368
_cons | .1811667 .0715565 2.53 0.012 .039793 .3225403
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,188 missing values generated)
(62,310 missing values generated)
(122 real changes made)
(sum of wgt is 264.7091170549393)
Linear regression Number of obs = 153
F(1, 152) = .
Prob > F = .
R-squared = 0.0926
Root MSE = .31137
(Std. Err. adjusted for 153 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.177891 .0752659 -2.36 0.019 -.3265934 -.0291886
MV1_female | -.0021403 .0072247 -0.30 0.767 -.0164142 .0121336
femaleXMV1_female | .0021403 .0072247 0.30 0.767 -.0121336 .0164142
_cons | .177891 .0752659 2.36 0.019 .0291886 .3265934
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(1, 2092) = 180.53
Prob > F = 0.0000
R-squared = 0.1082
Root MSE = .34313
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.2391446 .0177984 -13.44 0.000 -.274049 -.2042401
_cons | .2714774 .010169 26.70 0.000 .251535 .2914199
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 177 0 0 0 0
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ3 | 2,068 .0667311 .2496162 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 18.36586 34.84331 .5270987
----------------------------------------------
Linear regression Number of obs = 2,245
F(0, 2244) = .
Prob > F = .
R-squared = 0.0056
Root MSE = .23962
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0667311 .0054902 -12.15 0.000 -.0774975 -.0559648
_cons | .0667311 .0054902 12.15 0.000 .0559648 .0774975
--------------------------------------------------------------------------------
Linear regression Number of obs = 157
F(1, 156) = .
Prob > F = .
R-squared = 0.0150
Root MSE = .2075
(Std. Err. adjusted for 157 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.0626349 .0427268 -1.47 0.145 -.1470327 .0217629
MV1_female | .0003934 .0037055 0.11 0.916 -.0069261 .0077129
femaleXMV1_female | -.0003934 .0037055 -0.11 0.916 -.0077129 .0069261
_cons | .0626349 .0427268 1.47 0.145 -.0217629 .1470327
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,184 missing values generated)
(62,308 missing values generated)
(124 real changes made)
(sum of wgt is 277.0572957992554)
Linear regression Number of obs = 157
F(1, 156) = .
Prob > F = .
R-squared = 0.0431
Root MSE = .19598
(Std. Err. adjusted for 157 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1233001 .0793774 -1.55 0.122 -.2800933 .0334931
MV1_female | .0052644 .0058963 0.89 0.373 -.0063825 .0169112
femaleXMV1_female | -.0052644 .0058963 -0.89 0.373 -.0169112 .0063825
_cons | .1233001 .0793774 1.55 0.122 -.0334931 .2800933
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(0, 2092) = .
Prob > F = .
R-squared = 0.0343
Root MSE = .18223
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0686972 .0057823 -11.88 0.000 -.0800369 -.0573576
_cons | .0686972 .0057823 11.88 0.000 .0573576 .0800369
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 177 .1129944 .317484 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ4 | 2,068 .2770793 .4476642 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 17.03986 29.21458 .5832657
----------------------------------------------
Linear regression Number of obs = 2,245
F(1, 2244) = 40.57
Prob > F = 0.0000
R-squared = 0.0101
Root MSE = .43885
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.164085 .0257624 -6.37 0.000 -.2146057 -.1135642
_cons | .2770793 .0098461 28.14 0.000 .2577708 .2963878
--------------------------------------------------------------------------------
Linear regression Number of obs = 150
F(3, 149) = 5.53
Prob > F = 0.0013
R-squared = 0.0608
Root MSE = .44724
(Std. Err. adjusted for 150 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0695223 .1605923 0.43 0.666 -.2478103 .3868549
MV1_female | -.0142151 .0082647 -1.72 0.088 -.0305463 .0021161
femaleXMV1_female | -.0000906 .0133381 -0.01 0.995 -.0264469 .0262656
_cons | .2052935 .0849681 2.42 0.017 .0373953 .3731916
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,191 missing values generated)
(62,311 missing values generated)
(120 real changes made)
(sum of wgt is 256.5039837360382)
Linear regression Number of obs = 150
F(3, 149) = 0.81
Prob > F = 0.4904
R-squared = 0.0218
Root MSE = .44647
(Std. Err. adjusted for 150 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .0511582 .1667078 0.31 0.759 -.2782587 .3805751
MV1_female | -.0115323 .0086185 -1.34 0.183 -.0285626 .0054979
femaleXMV1_female | .0075701 .0155049 0.49 0.626 -.0230677 .038208
_cons | .1992279 .0867581 2.30 0.023 .0277928 .370663
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(1, 2092) = 41.65
Prob > F = 0.0000
R-squared = 0.0466
Root MSE = .38844
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.1717761 .0266182 -6.45 0.000 -.2239771 -.1195752
_cons | .2795578 .0102508 27.27 0.000 .259455 .2996606
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 177 .4745763 .5007698 0 1
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
occ6 | 2,068 .1479691 .3551552 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 443
----------------------+---------------------- NN matches = 3
Number of obs | 319 124 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | 9.950763 18.27389 .5445344
----------------------------------------------
Linear regression Number of obs = 2,245
F(1, 2244) = 72.51
Prob > F = 0.0000
R-squared = 0.0540
Root MSE = .36867
(Std. Err. adjusted for 2,245 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .3266072 .0383543 8.52 0.000 .2513936 .4018208
_cons | .1479691 .0078114 18.94 0.000 .1326506 .1632875
--------------------------------------------------------------------------------
Linear regression Number of obs = 77
F(3, 76) = 3.34
Prob > F = 0.0236
R-squared = 0.1012
Root MSE = .42694
(Std. Err. adjusted for 77 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | -.1549928 .2303311 -0.67 0.503 -.613737 .3037513
MV1_female | .0397596 .0169553 2.34 0.022 .0059901 .0735291
femaleXMV1_female | -.0070305 .0392345 -0.18 0.858 -.0851728 .0711118
_cons | .4143581 .1181721 3.51 0.001 .1789979 .6497183
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(62,273 missing values generated)
(62,332 missing values generated)
(59 real changes made)
(sum of wgt is 121.8195006847382)
Linear regression Number of obs = 72
F(3, 71) = 1.90
Prob > F = 0.1367
R-squared = 0.0606
Root MSE = .44491
(Std. Err. adjusted for 72 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | .055637 .2860527 0.19 0.846 -.5147359 .6260098
MV1_female | .0332212 .0168932 1.97 0.053 -.0004629 .0669052
femaleXMV1_female | -.0473491 .0466663 -1.01 0.314 -.1403991 .0457009
_cons | .3769408 .1216608 3.10 0.003 .134356 .6195256
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,046.91350281239)
Linear regression Number of obs = 2,093
F(1, 2092) = 89.04
Prob > F = 0.0000
R-squared = 0.1889
Root MSE = .43013
(Std. Err. adjusted for 2,093 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | .415265 .0440074 9.44 0.000 .3289622 .5015677
_cons | .1513729 .0083067 18.22 0.000 .1350826 .1676631
--------------------------------------------------------------------------------
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 184 0 0 0 0
Variable | Obs Mean Std. Dev. Min Max
-------------+---------------------------------------------------------
black | 2,089 .0033509 .0578036 0 1
Computing CCT bandwidth selector.
Bandwidth estimators for RD local polynomial regression
Cutoff c = 0 | Left of c Right of c Number of obs = 455
----------------------+---------------------- NN matches = 3
Number of obs | 326 129 Kernel type = Uniform
Order loc. poly. (p) | 1 1
Order bias (q) | 2 2
Range of MV1_female | 99.945 57.946
----------------------------------------------
Method | h b rho
----------+-----------------------------------
CCT | . . .
----------------------------------------------
Linear regression Number of obs = 2,273
F(0, 2272) = .
Prob > F = .
R-squared = 0.0003
Root MSE = .05543
(Std. Err. adjusted for 2,273 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0033509 .0012649 -2.65 0.008 -.0058315 -.0008703
_cons | .0033509 .0012649 2.65 0.008 .0008703 .0058315
--------------------------------------------------------------------------------
Linear regression Number of obs = 455
F(0, 454) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 455 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 0 (omitted)
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,076 missing values generated)
(62,165 missing values generated)
(2,089 real changes made)
(sum of wgt is 1,914.27638936043)
Linear regression Number of obs = 455
F(0, 454) = .
Prob > F = .
R-squared = .
Root MSE = 0
(Std. Err. adjusted for 455 clusters in group_sponsor)
-----------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------+----------------------------------------------------------------
sponsor_female | 0 (omitted)
MV1_female | 0 (omitted)
femaleXMV1_female | 0 (omitted)
_cons | 0 (omitted)
-----------------------------------------------------------------------------------
(option pr assumed; Pr(sponsor_female))
(60,228 missing values generated)
(62,169 missing values generated)
(1,941 real changes made)
(sum of wgt is 4,129.91265428066)
Linear regression Number of obs = 2,121
F(0, 2120) = .
Prob > F = .
R-squared = 0.0018
Root MSE = .04324
(Std. Err. adjusted for 2,121 clusters in group_sponsor)
--------------------------------------------------------------------------------
| Robust
black | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
sponsor_female | -.0036494 .0013776 -2.65 0.008 -.0063511 -.0009477
_cons | .0036494 .0013776 2.65 0.008 .0009477 .0063511
--------------------------------------------------------------------------------
.
.
.
.
. * Display results
.
. forvalues j=1/3{
2. gen str50 statistic_`j' = ""
3. forvalues i = 1/4 {
4. gen var_`j'_`i' =.
5. }
6. }
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
(62,349 missing values generated)
.
.
. forvalues j=1/3 {
2. local k = 0
3. foreach var in "sponsor_NE" "sponsor_MW" "sponsor_SO" "sponsor_WE" "pct_black" "pct_urban" "pct_for_born" "pct_age_over65" "lninc" "lnpden" "lag_demshare1" "
> DSpndPct" /*
> */ "absMV" "sponsor_democrat" "sponsor_tenure_run" "sponsor_rookie" "sponsor_age" "leader" "borninstate" "ivycoll" "occ0" "occ1" "occ2" "
> occ3" "occ4" "occ6" "black" {
4. local k = `k'+1
5. replace statistic_`j' = "stdiff_`var'_`j'" if _n==2*(`k'-1)+1
6. forvalues i=1/4 {
7. replace var_`j'_`i' = stdiff_`var'_`j'_`i' if _n==2*(`k'-1)+1
8. }
9. }
10. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
.
. forvalues j=1/3 {
2. preserve
3. keep statistic_`j' var_`j'_*
4. order statistic_`j' var_`j'_*
5. keep if _n<=200
6. ren var_`j'_1 raw
7. ren var_`j'_2 rd_llr
8. ren var_`j'_3 rd_ps
9. ren var_`j'_4 ps1_all
10. export excel using "$Output/Table4_BalancingTests_`Party`j''", firstrow(var) replace
11. restore
12. }
(62,149 observations deleted)
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_ALL.xls saved
(62,149 observations deleted)
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_D.xls saved
(62,149 observations deleted)
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_R.xls saved
.
.
. log close
name: <unnamed>
log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log
log type: text
closed on: 11 May 2021, 23:48:42
---------------------------------------------------------------------------------------------------------------------------------------------------------------------