### File Name: Northeast Model w Education Gender Interact Output.docx

Author: Robert Johnston, Clark University Created: January 17, 2012 Purpose: Presents results for the unweighted Northeast regional model including interactions for gender and education.

--> RESET $ Initializing NLOGIT Version 4.1 (November 1, 2009). --> READ ; File ="D:\Rob Johnston\LIMDEP Data\NE_model_data_110411b.xls" ; Format = XLS ; Names $ --> CALC ; Ran(12345) $ --> CREATE ; If(option=0) Neither=1; (Else) Neither=0 $ --> CREATE ; If(Q14>4) College=1; (Else) College=0 $ --> CREATE ; c_ne = College*neither; c_com=College*com_fish; c_pop= College*fish_pop; c_sav=College*fish_sav $ --> CREATE ; c_aquat=College*aquatic; c_cost=College*cost $ --> CREATE ; If(Q13=2) female=1; (Else) female=0 $ --> CREATE ; f_ne = female*neither; f_com=female*com_fish; f_pop=female*fish_pop; f_sav=female*fish_sav $ --> CREATE ; f_aquat=female*aquatic; f_cost=female*cost $ --> CREATE ; cost = cost $ --> REJECT; choice = -999 $ --> NLOGIT ; Lhs = Choice ; Choices = A,B,Neither ; Rhs = neither, com_fish, fish_pop, fish_sav, aquatic, cost, c_ne, c_com, c_pop, c_sav, c_aquat, c_cost,f_ne, f_com, f_pop, f_sav, f_aquat, f_cost

; RPL ; Fcn = neither(N), com_fish(N), fish_pop(N), fish_sav(N), aquatic(N)

; Parameters ; Correlation ; Pds = num_r
; Pts = 200 ; Maxit = 1000
; Halton $ Normal exit: 5 iterations. Status=0. F= 1070.712

----------------------------------------------------------- Start values obtained using MNL model Dependent variable Choice Log likelihood function -1070.71157 Estimation based on N = 1060, K = 18 Information Criteria: Normalization=1/N

Normalized Unnormalized
AIC 2.05417 2177.42314 Fin.Smpl.AIC 2.05479 2178.08020 Bayes IC 2.13850 2266.81158 Hannan Quinn 2.08613 2211.30075 Model estimated: Jan 16, 2012, 16:59:38 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj Constants only -1141.3372 .0619 .0470 Response data are given as ind. choices Number of obs.= 1060, skipped 0 obs

--------+--------------------------------------------------Variable| Coefficient Standard Error b/St.Er. P[|Z|>z]

--------+-------------------------------------------------- NEITHER| -.06954 .27373 -.254 .7995 COM_FISH| .02871 .03611 .795 .4265 FISH_POP| -.00891 .05617 -.159 .8740 FISH_SAV| .00915*** .00196 4.655 .0000 AQUATIC| .05245 .05700 .920 .3575 COST| -.01488*** .00361 -4.117 .0000 C_NE| .23555 .37081 .635 .5253 C_COM| .05382 .04790 1.124 .2612 C_POP| -.02089 .07581 -.276 .7829 C_SAV| .00747*** .00266 2.806 .0050 C_AQUAT| .09292 .07601 1.222 .2216 C_COST| .00096 .00479 .200 .8413 F_NE| -.22514 .39380 -.572 .5675 F_COM| -.00544 .04930 -.110 .9121 F_POP| .02771 .07847 .353 .7240 F_SAV| -.00055 .00278 -.197 .8437 F_AQUAT| .01611 .07835 .206 .8371 F_COST| .00312 .00498 .626 .5310

--------+-------------------------------------------------- Note: ***, **, * = Significance at 1%, 5%, 10% level.

-----------------------------------------------------------

Line search does not improve fn. Exiting optimization.

----------------------------------------------------------- Random Parameters Logit Model Dependent variable CHOICE Log likelihood function -909.06161 Restricted log likelihood -1164.52903 Chi squared [ 33 d.f.] 510.93483 Significance level .00000 McFadden Pseudo R-squared .2193740 Estimation based on N = 1060, K = 33 Information Criteria: Normalization=1/N

Normalized Unnormalized
AIC 1.77747 1884.12322 Fin.Smpl.AIC 1.77954 1886.31035 Bayes IC 1.93208 2048.00202 Hannan Quinn 1.83607 1946.23216 Model estimated: Jan 16, 2012, 17:05:55 R2=1-LogL/LogL* Log-L fncn R-sqrd R2Adj No coefficients -1164.5290 .2194 .2070 Constants only -1141.3372 .2035 .1909
At start values -1070.7116 .1510 .1375 Response data are given as ind. choices Replications for simulated probs. = 200 Halton sequences used for simulations RPL model with panel has 367 groups Variable number of obs./group =NUM_R Hessian is not PD. Using BHHH estimator Number of obs.= 1060, skipped 0 obs

--------+-------------------------------------------------- Variable| Coefficient Standard Error b/St.Er. P[|Z|>z]

--------+--------------------------------------------------

|Random parameters in utility functionsNEITHER| -.11591 .44143 -.263 .7929

COM_FISH| .18027*** .06949 2.594 .0095 FISH_POP| .07348 .10314 .712 .4762 FISH_SAV| .02767*** .00857 3.228 .0012 AQUATIC| .17045 .11677 1.460 .1444

|Nonrandom parameters in utility functions COST| -.02720*** .00560 -4.854 .0000 C_NE| .21781 .56578 .385 .7003 C_COM| .13960* .07728 1.806 .0708 C_POP| .01544 .12576 .123 .9023 C_SAV| .04490*** .00830 5.410 .0000 C_AQUAT| .13699 .12766 1.073 .2832 C_COST| -.00679 .00692 -.981 .3268 F_NE| -.23947 .53138 -.451 .6522 F_COM| .01361 .07840 .174 .8622 F_POP| .07421 .12132 .612 .5407 F_SAV| .01836** .00791 2.320 .0203 F_AQUAT| .05411 .12544 .431 .6662 F_COST| -.00317 .00746 -.424 .6714 |Diagonal values in Cholesky matrix, L. NsNEITHE| .03890 .65397 .059 .9526 NsCOM_FI| .02618 .41023 .064 .9491 NsFISH_P| .08496 .34476 .246 .8054 NsFISH_S| .00721 .01625 .444 .6571 NsAQUATI| .01587 .57288 .028 .9779

|Below diagonal values in L matrix. V = L*Lt COM_:NEI| .13009 .13620 .955 .3395 FISH:NEI| .10063 .22376 .450 .6529 FISH:COM| .01810 .65717 .028 .9780 FIS0:NEI| .07941*** .01256 6.321 .0000 FIS0:COM| .02321 .02829 .821 .4118 FISH:FIS| .00272 .02729 .100 .9206 AQUA:NEI| .08986 .24739 .363 .7164 AQUA:COM| .01360 .68035 .020 .9841 AQUA:FIS| .07176 .50643 .142 .8873 AQU0:FIS| -.26031 .21745 -1.197 .2313

|Standard deviations of parameter distributions sdNEITHE| .03890 .65397 .059 .9526 sdCOM_FI| .13270 .09846 1.348 .1777 sdFISH_P| .13294 .21716 .612 .5404 sdFISH_S| .08309*** .01321 6.289 .0000 sdAQUATI| .28535 .31368 .910 .3630

--------+-------------------------------------------------- Note: ***, **, * = Significance at 1%, 5%, 10% level.

-----------------------------------------------------------

Correlation Matrix for Random Parameters

NEITHER COM_FISH FISH_POP FISH_SAV AQUATIC

+-------------+-------------+-------------+-------------+------------

-+ NEITHER | 1.00000 .98035 .75699 .95569 .31491 COM_FISH| .98035 1.00000 .76897 .99202 .31812 FISH_POP| .75699 .76897 1.00000 .78240 .40560 FISH_SAV| .95569 .99202 .78240 1.00000 .24333 AQUATIC | .31491 .31812 .40560 .24333 1.00000+-------------+-------------+-------------+-------------+------------

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