107/replication_package/Code/Stata/Appendix.do

*** APPENDIX TABLES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) ***
*******************************************************************************

*** Initial set-up ***
clear
set more off

*** Set directories for data and output ***
cd "$main/Output"
/* Note: all tables will output to the working directory. Uses a program from
   master_do_file_for_analysis.do */
   

*** Load and clean experimental data ******************************************

*** Load dataset ***
use "$main/Data/cleaned_commitment_study_data", clear

*** Variable Creation & Cleaning Steps ***
*** Create an ID variable for use when reshaping long 
gen id = _n

*** Generate info treatment indicators
gen first_info = type_of_info=="1-onlygraph" 
gen new_info = type_of_info=="2-graphplus" 
gen control_info = (new_info == 0 & first_info == 0) 

*** Generate wave indicators
gen wave1 = (wave == "fall") 
gen wave2 = (wave == "winter")
gen wave3 = (wave == "spring")

*** Define anticommitment/commitment variables for each threshold
gen anticommit8 = q170 ==2 if q170<.
gen commit8 = q169 ==2 if q169<.
gen anticommit12 = chose_anticommit11
gen commit12 = chose_commit12
gen anticommit16 = q296==2 if q296<.
gen commit16 = q295 ==2 if q295<.

*** Rescale percent variable
foreach var of varlist percent*{
	replace `var' = `var'/100
	}
	
*** Restrict sample to those exogenously assigned incentives
keep if flag_low_wtp == 0 & flag_exclude_exog == 0


*** Descriptive Statistics (table_descriptive.tex) *****************************

*** Generate variables and labels for the table ***
gen ft_student = student==1 if student<.
gen ft_working = working==1 if working<.
gen fpt_working = working<3 if working<.
gen advanced_degree = educ==5
replace married = married==1 if married<.
recode age  (1 = 24) (2=35.5 ) (3=45.5) (4=57.5) (5=70) , gen(imp_age)
recode income_cat  (1 = 18000) (2=37500 ) (3=75500) (4=150000) (5=.) , gen(imp_inc)

label var female "Female" 
label var imp_inc "Household income$^a$"
label var married "Married"
label var ft_student "Student, full-time"
label var fpt_working "Working, full- or part-time"
label var advanced "Advanced degree$^b$"
label var imp_age "Age$^a$"
label var past4 "Visits in the past 4 weeks, recorded"
label var visits_100 "Visits, recorded"
label var past100days_went "Visits, self-recollection"
label var past100days_should "Days that \textit{I should have gone, but didn't}"
label var days_0 "Best guess of days I will attend in next 4 weeks"
label var goal "Goal for visits"
label var flag_confusion "Indicator for inattention during survey"

gen any_info = 0 
replace any_info=1 if first_info==1 | new_info==1
gen rowvar = .

*** Produce statistics for the table ***
local counter=0
eststo clear
foreach var of varlist female imp_age ft_student fpt_working married advanced_degree imp_inc past4{
local counter=`counter'+1
local varlabel: var label `var'
label var rowvar "`varlabel'"
replace rowvar=1

eststo model0, title(""): xi: reg `var' rowvar, noconst
replace rowvar = any_info
*estadd matrix p = (.), replace

eststo model1, title(""): xi: reg `var' rowvar if wave1==1, robust

reg `var' rowvar if wave1==0, robust
eststo model2, title("")

*** Export table
if `counter'==1 {
 estout model0 model1 model2 using  "table_descriptive.tex", style(tex) label cells((b( fmt(%9.3f) label("\shortstack{Wave 1 \\ (2)}") pattern(0 1 0)) b( fmt(%9.3f) label("\shortstack{Waves 2-3 \\ (4)}") pattern(0 0 1))  b( fmt(%9.3f) label("\shortstack{Waves 1-3 \\ (1)}") pattern(1 0 0)) p(fmt(%9.2f) pattern(0 1 0) label("\shortstack{P-value \\ (3)}")) p(fmt(%9.2f) pattern(0 0 1) label("\shortstack{P-value \\ (5)}")))) drop(_cons ) margin replace  ///
title(Descriptive Statistics) mgroups("\shortstack{ \\ Overall mean}" "\shortstack{ \\ Difference in means:\\ Treatment $-$ control}" , pattern(1 1 0) ///
span prefix(\multicolumn{@span}{c}{) suffix(}))  /// 
mlabels("" "" "") msign(--) starlevels(* 0.1 ** 0.05 *** 0.01)   ///
prehead( "\begin{tabular}{l*{6}{c}}" "\hline" "\addlinespace")   ///
posthead("\hline" "\addlinespace") substitute(_ \_)
	}
	
	else if `counter'==7 {
 estout model0 model1 model2 using  "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.0fc))  p(fmt(%9.2f) pattern(0 1 1)))) drop(_cons) margin append eqlabels(none)  ///
 msign(--) starlevels(* 0.1 ** 0.05 *** 0.01)  collabels(,none) prefoot() substitute(_ \_)
	}
	
	else if `counter'==8 {
 estout model0 model1 model2 using  "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.2f))  p(pattern(0 1 1)))) drop(_cons) margin append eqlabels(none)  ///
 msign(--) starlevels(* 0.1 ** 0.05 *** 0.01)  collabels(,none) prefoot() substitute(_ \_) ///
postfoot("\hline" "\addlinespace" "N & 1,248 &  \multicolumn{2}{c}{\shortstack{166 control \\ 174 treated}}  & \multicolumn{2}{c}{\shortstack{456 control \\ 452 treated}} \\ "  "\hline\hline" "\end{tabular}")
	}
	else if `counter'>=3 & `counter'<=6{
 estout model0 model1 model2 using  "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.3f)) p(fmt(%9.2f) pattern(0 1 1)))) drop(_cons) margin append eqlabels(none)  ///
 msign(--) starlevels(* 0.1 ** 0.05 *** 0.01)  collabels(,none) substitute(_ \_)  
}
else {
 estout model0 model1 model2 using  "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.2f)) p(pattern(0 1 1)))) drop(_cons) margin append eqlabels(none)  ///
 msign(--) starlevels(* 0.1 ** 0.05 *** 0.01)  collabels(,none) substitute(_ \_)  
}
}
.
/* Note: the number of observations was manually entered; N = 1,248;
Wave 1: 166 Control and 174 Treated; and Waves 2-3: 456 Control and 452 Treated */


*** (commit_delta{,_info,_control}.tex) ***************************************

*** Generate additional variables and reshape data ***
/*** These variables are the amounts, per attendance, by which a person 
"overpays" for the increase in incentive. Second-order approximation */
gen delta1=(wtp1) - (days_1+days_0)/2
gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2
gen delta3=(wtp3-wtp2) - (days_3+days_2)/2
gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2
gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2
gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2
gen avg_delta_ex1 = (delta2 + delta3 + delta5 + delta7 + delta12)/5

*** Change in days of expected attendance by incentive
gen diffa1=(days_1-days_0)
gen diffa2=(days_2-days_1)
gen diffa3=(days_3-days_2)
gen diffa5=(days_5-days_3)/2
gen diffa7=(days_7-days_5)/2
gen diffa12=(days_12-days_7)/5

*** Generate z-score and mean ***	
quietly sum avg_delta_ex1
gen z_avg_delta_ex1 = (avg_delta_ex1 - r(mean))/r(sd)
loc mean : di %4.2f r(mean)
loc sd : di %4.2f r(sd)
latex_write wtpbcmean `mean' numbers
latex_write wtpbcsd `sd' numbers

*** Regress behavior change premium on commitment contract take-up ***
loc k = 1
foreach restriction in "" "if new_info == 1" "if control_info == 1"{

	forval j = 8(4)16{
	
		* Run regression under treatment restriction
		regress commit`j' z_avg_delta_ex1 wave2 wave3 `restriction', ///
			vce(cluster id)
		est store est_cd_`k'
		loc ++k

		* Store mean & fixed effects information
		ci means commit`j' if e(sample)
		local m : di %4.2f r(mean)
		local se : di %4.2f r(se)
		estadd local dvmean `m'
		estadd local dvse "(`se')"
		estadd local wavefe "Yes"
		estadd local ccfe "No"
	
		}
		
	}

preserve

* Reshape data and run regressions
reshape long commit commitnotanti, i(id) j(t)
foreach restriction in "" "if new_info == 1" "if control_info == 1"{

	* Run regression under treatment restriction
	regress commit z_avg_delta_ex1 i.t wave2 wave3 `restriction', ///
		vce(cluster id)
	est store est_cd_`k'
	loc ++k

	* Store mean & fixed effects information
	ci means commit if e(sample)
	local m : di %4.2f r(mean)
	local se : di %4.2f r(se)
	estadd local dvmean `m'
	estadd local dvse "(`se')"
	estadd local wavefe "Yes"
	estadd local ccfe "Yes"
	
	}

restore

*** Export tables
estout est_cd_1 est_cd_2 est_cd_3 est_cd_10 using "commit_delta.tex", style(tex) margin replace eqlabels(none) ///
order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline  Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")

estout est_cd_4 est_cd_5 est_cd_6 est_cd_11 using "commit_delta_info.tex", style(tex) margin replace eqlabels(none) ///
order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline  Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")

estout est_cd_7 est_cd_8 est_cd_9 est_cd_12 using "commit_delta_control.tex", style(tex) margin replace eqlabels(none) ///
order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline  Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")


*** (regs_commitnotanti_pooled.tex) *******************************************

* Generate variable for expected attendace w/incentive given
gen days_exp = .
foreach i in 0 1 2 3 5 7{
	replace days_exp = days_`i' if incentive == `i'
	}
	
* Generate variables for gaps between goal, past, expected, & actual attendance
gen gap_goal_exp = goal - days_0 // under no incentive
gen gap_goal_past = goal - past4
gen gap_actual_exp = visits - days_exp

* Declare restriction for following analysis
loc restrict "!missing(incentive)"
		
* Generate z-scores for variables with constant restriction
drop z_avg_delta_ex1
foreach dvar in gap_goal_exp gap_actual_exp avg_delta_ex1{
	sum `dvar' if `restrict'
	gen z_`dvar' = (`dvar' - r(mean)) / r(sd) if `restrict'
	}	
	
*** Generate indicators for take-up of the more & not fewer contract ***
forval i = 8(4)16{
	gen commitnotanti`i' = (commit`i' == 1 & anticommit`i' == 0) ///
		if !missing(commit`i')
	}
		
*** Run regressions of take-up of a more but not fewer visits contract ***
preserve

* Reshape to pool contracts
reshape long commitnotanti, i(id) j(t)

* Run regressions with constant restriction
eststo clear
loc k = 1
foreach covar in "first_info new_info" "z_avg_delta_ex1 first_info new_info" "z_gap_goal_exp first_info new_info" "z_gap_actual_exp first_info new_info"{
	reg commitnotanti i.t wave2 wave3 `covar' if `restrict', vce(cluster id)
	eststo spec_`k'
	
	* Store dependent variable mean
	ci means commitnotanti if `restrict'
	local m : di %4.2f r(mean)
	local mpct : di %4.0f r(mean)*100
	local se : di %4.2f r(se)
	estadd local dvmean `m'
	estadd local dvse "(`se')"
	ci means commitnotanti if `restrict' & control_info == 1
	local mcontrol : di %4.2f r(mean)
	local secontrol : di %4.2f r(se)
	estadd local dvmeancontrol `mcontrol'
	estadd local dvsecontrol "(`secontrol')"
	estadd local wavefe "Yes"
	estadd local ccfe "Yes"
	
	loc ++k
	}
	
* Export regression output
estout spec* using "regs_commitnotanti_pooled.tex", style(tex) margin replace eqlabels(none) ///
	drop(8.t 12.t 16.t wave2 wave3 _cons) wrap varwidth(25)  ///
	order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp ) ///
	mgroups("\shortstack{Take-up of \`\`more'' but not \`\`fewer'' \\ visits contracts}", pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
	mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
	varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)" z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
	cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
	stats(dvmean dvse dvmeancontrol dvsecontrol wavefe ccfe N N_clust, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
	collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
	posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")

restore


*** (CCtable_{control,treatment}.tex) *****************************************
*** This table was created by hand, so no tex output is produced for it *******

foreach restriction in "new_info==1" "control_info==1"{
	preserve
	*** Keep either the treatment or control group ***
	keep if `restriction'
	
	if "`restriction'" == "new_info==1" loc name "enhancedtreat"
	else loc name "control"

	*** Summarize take-up of commitment contracts ***
	forval X = 8(4)16 {
		  * Chose "more" contract
		  summarize commit`X'
		  * Store number of observations
		  if `X' == 12 latex_write `name'obs `r(N)' numbers
		  * Chose "fewer" contract
		  summarize anticommit`X'
		  * Chose "more" given chose "fewer"
		  summarize commit`X' if anticommit`X'==1
		  * Chose "fewer" given chose "more"
		  summarize anticommit`X' if commit`X'==1
		  * Difference between "more" and "more" given chose "fewer" means
		  gen commit`X'_cdtn = commit`X' if anticommit`X'==1
		  ttest commit`X'_cdtn = commit`X', unpaired
		  * Difference between "fewer" and "fewer" given chose "more" means
		  gen anticommit`X'_cdtn = anticommit`X' if commit`X'==1
		  ttest anticommit`X'_cdtn = anticommit`X', unpaired
		}  
	restore
	}
	
	
*** (CCtakeupVbeliefs.tex) ****************************************************

*** Regress probability of meeting threshold vs. take-up, all participants ***
*** Probability of meeting "more" threshold
reg percent_meet_commit12 commit12, robust
est store est21

reg percent_meet_commit12 anticommit12, robust
est store est22

reg percent_meet_commit12 commit12 anticommit12, robust
est store est23

* Difference of coefficients ("More"-"Fewer")
test _b[commit]=_b[anticommit]
nlcom diff: _b[commit]-_b[anticommit], post

* Store differences
local b : di %4.2f _b[diff]
local se : di %4.2f _se[diff]
estadd local diffb "`b'***" : est23 // know significance level via inspection
estadd local diffse "(`se')" : est23

*** Probability of meeting "fewer" threshold
reg percent_meet_anticommit commit12, robust
est store est24

reg percent_meet_anticommit anticommit12, robust
est store est25

reg percent_meet_anticommit commit12 anticommit12, robust
est store est26

* Difference of coefficients ("More"-"Fewer")
test _b[commit]=_b[anticommit]
nlcom diff: _b[commit]-_b[anticommit], post

* Store differences
local b : di %4.2f _b[diff]
local se : di %4.2f _se[diff]
estadd local diffb "`b'***" : est26 // know significance level via inspection
estadd local diffse "(`se')" : est26

*** Export table
estout est21 est22 est23 est24 est25 est26 using CCtakeupVbeliefs.tex, ///
style(tex) margin replace eqlabels(none) ///
cells(b(star fmt(%9.2f))  se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
keep(commit12 anticommit12) order(commit12 anticommit12) ///
stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) ///
varlabels(commit12 "Commit to \`\`more''" anticommit12 "Commit to \`\`fewer''") ///
collabels(,none) mlabels("(1)" "(2)" "(3)" "(4)" "(5)" "(6)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mgroups("\shortstack{Subj. prob. succeed in \\ \`\`more'' contract}" "\shortstack{Subj. prob. succeed in \\ \`\`fewer'' contract}", pattern(1 0 0 1 0 0) ///
span prefix(\multicolumn{@span}{c}{) suffix(})) ///
prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}")
	
	
*** (CCcorrelates.tex) ********************************************************

preserve
*** Reshape data ***
reshape long commit anticommit, i(id) j(threshold)

*** Further correlates of take-up ***
* Regress expected attendance on contract take-up
reg days_0 commit anticommit, robust
est store est31

* Difference of coefficients ("More"-"Fewer")
nlcom diff: _b[commit]-_b[anticommit], post

* Store differences
local b : di %4.2f _b[diff]
local se : di %4.2f _se[diff]
estadd local diffb "`b'***" : est31 // know significance level via inspection
estadd local diffse "(`se')" : est31


* Regress past attendance on contract take-up
reg past4 commit anticommit, robust
est store est32

* Difference of coefficients ("More"-"Fewer")
nlcom diff: _b[commit]-_b[anticommit], post

* Store differences
local b : di %4.2f _b[diff]
local se : di %4.2f _se[diff]
estadd local diffb "`b'***" : est32 // know significance level via inspection
estadd local diffse "(`se')" : est32


* Regress goal attendance on contract take-up
reg goal commit anticommit, robust
est store est33

* Difference of coefficients ("More"-"Fewer")
nlcom diff: _b[commit]-_b[anticommit], post

* Store differences
local b : di %4.2f _b[diff]
local se : di %4.2f _se[diff]
estadd local diffb "`b'***" : est33 // know significance level via inspection
estadd local diffse "(`se')" : est33


*** Export table
estout est31 est32 est33 using CCcorrelates.tex, style(tex) margin replace eqlabels(none) ///
cells(b(star fmt(%9.2f))  se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
keep(commit anticommit) order(commit anticommit) ///
mgroups("Expected attendance" "Past attendance" "Goal attendance", pattern(1 1 1) ///
span prefix(\multicolumn{@span}{c}{) suffix(})) ///
stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) ///
varlabels(commit "Chose \`\`more contract''" anticommit "Chose \`\`fewer'' contract") ///
collabels(,none) mlabels("(1)" "(2)" "(3)") ///
prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}")
	
restore


*** (Exp_{Rates,Corr}.tex) ****************************************************
*** These tables were created by hand, so no tex output is produced for them **

* Note: Attendance in the following tables is in the absence of incentives
 
cap program drop rate_table corr_table
*** Create program for table of rates of contract take-up ***
program rate_table
    syntax, attendance(string) // for expected vs. actual attendance
	
		if "`attendance'" == "expected" local attendance "days_0"
		else if "`attendance'" == "actual" local attendance "incentive == 0 & visits"
		else confirm "`attendance'" == "actual" | "`attendance'" == "expected"
	
		* Summarize take-up of commitment contracts
		forval i = 8(4)16 {
			* (1) Chose "more" contract
			di("(1) Chose more: `i' visits")
			summarize commit`i'
			* (2) Chose "more" given attendance no more than target - 2
			di("(2) Chose more | att. <= `i' - 2, `i' visits")
			summarize commit`i' if `attendance' <= `i' - 2
			* (3) Chose "more" given attendance no more than target - 4
			di("(3) Chose more | att. <= `i' - 4, `i' visits")
			summarize commit`i' if `attendance' <= `i' - 4
			* (4) Chose "fewer" contract
			di("(4) Chose fewer, `i' visits")
			summarize anticommit`i'
			* (5) Chose "fewer" given attendance at least target + 1
			di("(5) Chose fewer | att. >= `i' + 1, `i' visits")
			summarize anticommit`i' if `attendance' >= `i' + 1
			* (6) Chose "fewer" given attendance at least target + 3
			di("(6) Chose fewer | att. >= `i' + 3, `i' visits")
			summarize anticommit`i' if `attendance' >= `i' + 3
			}
end

* Obtain take-up rates for table
rate_table, attendance(expected)

*** Create program for table of contract take-up correlations ***
program corr_table
    syntax, attendance(string) // for expected vs. actual attendance
	
		if "`attendance'" == "expected" local attendance "days_0"
		else if "`attendance'" == "actual" local attendance "incentive == 0 & visits"
	
		* Summarize correlation between take-up more- & fewer-visit contracts
		forval i = 8(4)16 {
			* (1) Correlation
			di("(1) `i' visits")
			pwcorr commit`i' anticommit`i', sig
			* (2) Correlation given attendance no more than target - 2
			di("(2) att. <= `i' - 2, `i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 2, sig
			* (3) Correlation given attendance no more than target - 4
			di("(3) att. <= `i' - 4, `i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 4, sig
			* (4) Correlation given attendance at least target + 1
			di("(4) att. >= `i' + 1, `i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 1, sig
			* (5) Correlation given attendance at least target + 3
			di("(5) att. >= `i' + 3,`i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 3, sig
			* (6) Correlation given attendance no more than 6
			di("(6) att. <= 6, `i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' <= 6, sig
			* (7) Correlation given attendance at least 17
			di("(7) att. >= 17, `i' visits")
			pwcorr commit`i' anticommit`i' if `attendance' >= 17, sig
			}
end
	
* Obtain correlations for table
corr_table, attendance(expected)


*** (bcp_on_behavior_change.tex) **********************************************

preserve
*** Reshape to long format
reshape long delta diffa, i(id) j(index)

*** Run regression of behavior change premium on behavior change, excl. $1
* Without wave fixed effects
reg delta diffa if index > 1, cluster(id)
est store bcpbc1

* Store mean & fixed effects information
estadd local wavefe "No"
ci means delta if e(sample)
local m : di %4.2f r(mean)
loc se : di %4.2f r(se)
estadd local dvmean `m'
estadd local dvse "(`se')"

* With wave fixed effects
reg delta diffa wave? if index > 1, cluster(id) nocons
est store bcpbc2

* Store mean & fixed effects information
estadd local wavefe "Yes"
ci means delta if e(sample)
local m : di %4.2f r(mean)
loc se : di %4.2f r(se)
estadd local dvmean `m'
estadd local dvse "(`se')"

*** Export table
estout bcpbc* using "bcp_on_behavior_change.tex", ///
style(tex) margin replace eqlabels(none) drop(wave*) ///
mgroups("\shortstack{Behavior change \\ premium}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("(1)" "(2)", span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(diffa "Expected behavior change" _cons "Constant") ///
cells(b(star fmt(%9.2f))  se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(dvmean dvse wavefe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc)) ///
collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")

restore


*** (bcp_on_risk_aversion.tex) *************************************************

/* Note: this table is not included in the paper, but the results are
   referenced in footnote 12. */

*** Generate risk aversion variables
* Generate indicator for not choosing options with more risk but no addtl. return
gen risk_averse = risk_aversion <= 5

* Generate indicator for above median risk aversion
sum risk_aversion, d
gen abovemed_risk_aversion = risk_aversion <= r(p50)

*** Run regressions on a range of risk aversion variables
eststo clear
loc k = 1
foreach covar in "risk_aversion" "abovemed_risk_aversion" "risk_averse" {

	reg avg_delta_ex1 `covar' wave2 wave3, r
	eststo spec_`k'
	loc ++k

	* Store mean & fixed effects information
	estadd local wavefe "Yes"
	ci means avg_delta_ex1 if e(sample)
	local m : di %4.2f r(mean)
	loc se : di %4.2f r(se)
	estadd local dvmean `m'
	estadd local dvse "(`se')"
	
	}
	
*** Export table
estout spec* using "bcp_on_risk_aversion.tex", ///
style(tex) margin replace eqlabels(none) drop(wave* _cons) ///
mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("(1)" "(2)" "(3)", span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(risk_aversion "Risk aversion" abovemed_risk_aversion "Above median risk aversion" risk_averse "Risk averse") ///
cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(dvmean dvse wavefe N, l("Dep. var. mean:" " " "\hline Wave FEs" "N") fmt(%8.0fc %8.0fc %8.0fc %8.0fc)) ///
collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")

	
*** Load and clean daily experimental data ************************************

*** Load dataset ***
use "$main/Data/cleaned_commitment_study_daily_data", clear

*** Variable Creation & Cleaning Steps ***
*** Generate info treatment indicators
gen first_info = type_of_info=="1-onlygraph" 
gen new_info = type_of_info=="2-graphplus" 
gen control_info = (new_info == 0 & first_info == 0) 

*** Generate wave indicators
gen wave1 = (wave == "fall") 
gen wave2 = (wave == "winter")
gen wave3 = (wave == "spring")

*** Define anticommitment/commitment variables for each threshold
gen anticommit8 = q170 ==2 if q170<.
gen commit8 = q169 ==2 if q169<.
gen anticommit12 = chose_anticommit11
gen commit12 = chose_commit12
gen anticommit16 = q296==2 if q296<.
gen commit16 = q295 ==2 if q295<.

*** Restrict sample to those exogenously assigned incentives
keep if flag_low_wtp == 0 & flag_exclude_exog == 0	


*** (DailyAttIncr.tex) ********************************************************

preserve
keep if commit12 == 1
gen got_incentive = 1 if treatment == "threshold80_12"
replace got_incentive = 0 if treatment == "control"
tab got_incentive
keep if !missing(got_incentive)
gen incentive_day = day*got_incentive

* Run regression of attendance on assignment to contract and day
reg attended day got_incentive incentive_day wave2 wave3, clus(id)
est store estday
estadd local wavefe "Yes"
restore

* Export regression output
estout estday using "DailyAttIncr.tex", style(tex) margin replace eqlabels(none) ///
order(day got_incentive incentive_day _cons) ///
drop(wave2 wave3 _cons) ///
mgroups("\shortstack{Attendance \\ likelihood}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
mlabels("(1)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
varlabels(day "Day" got_incentive "12+ visits contract" incentive_day "Day $\times$ 12+ visits contract") ///
cells(b(star fmt(%9.3f))  se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
stats(wavefe N N_clust, l("Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc)) ///
collabels(,none) ///
prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
posthead("\hline") ///
prefoot("\hline") ///
postfoot("\hline\hline" "\end{tabular}")