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| *** TABLES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) ************ | |
| ******************************************************************************* | |
| *** Initial set-up *** | |
| clear | |
| eststo clear | |
| set more off | |
| *** Set directory for 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 | |
| } | |
| *** Store number of observations in exclusions | |
| sum flag_low_wtp | |
| loc lowwtp `r(sum)' | |
| latex_write lowwtpobs `lowwtp' numbers | |
| sum flag_exclude_exog | |
| loc endog `r(sum)' | |
| latex_write nexogobs `endog' numbers | |
| loc totalexcl = `lowwtp' + `endog' | |
| latex_write excludeobs `totalexcl' numbers | |
| * Wave 3 | |
| sum flag_low_wtp if wave3 == 1 | |
| latex_write lowwtpobswthree `r(sum)' numbers | |
| sum flag_exclude_exog if wave3 == 1 | |
| latex_write nexogobswthree `r(sum)' numbers | |
| *** Store number of participants in each wave before exclusions | |
| forval i = 1/3{ | |
| if `i' == 1 loc wname "wone" | |
| else if `i' == 2 loc wname "wtwo" | |
| else loc wname "wthree" | |
| sum wave`i' if wave`i' == 1 | |
| loc obs = r(N) | |
| latex_write `wname'obs `obs' numbers | |
| } | |
| *** Store share of participants who prefer nothing to contingent $80 | |
| sum prefer80contingent_to_0 | |
| loc pctpreferzero : di %2.1f (1-r(mean))*100 | |
| latex_write pctpreferzero `pctpreferzero' numbers | |
| *** Restrict sample to those exogenously assigned incentives | |
| keep if flag_low_wtp == 0 & flag_exclude_exog == 0 | |
| *** Descriptive Statistics (appendix_descriptive_stats.tex) ******************* | |
| *** Generate variables and labels for the table *** | |
| gen ft_student = student==1 if student<. | |
| gen ft_working = working==1 if working<. | |
| gen fpt_working = working<3 if working<. | |
| gen advanced_degree = educ==5 | |
| replace married = married==1 if married<. | |
| recode age (1 = 24) (2=35.5 ) (3=45.5) (4=57.5) (5=70) , gen(imp_age) | |
| recode income_cat (1 = 18000) (2=37500 ) (3=75500) (4=150000) (5=.) , gen(imp_inc) | |
| label var female "Female" | |
| label var imp_inc "Household income$^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$" | |
| label var past4 "Visits in the past 4 weeks, recorded" | |
| label var visits_100 "$\hspace{0.5cm}$ Visits, recorded" | |
| label var past100days_went "$\hspace{0.5cm}$ 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 in next 4 weeks" | |
| gen wave_num = "Wave 1" if wave=="fall" | |
| replace wave_num="Wave 2" if wave=="winter" | |
| replace wave_num="Wave 3" if wave=="spring" | |
| tab wave_num // N = 1248 (340 in Wave 1, 509 in Wave 2, 399 in Wave 3) | |
| *** Produce statistics for the table *** | |
| estpost tabstat female imp_age ft_student fpt_working married advanced_degree imp_inc past4, by(wave_num) statistics(mean sd) columns(statistics) | |
| *** Export table | |
| #delimit; | |
| estout . using `"appendix_descriptive_stats.tex"' , | |
| cells(mean(fmt(%3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %8.0gc %3.2fc) star) | |
| sd(fmt(%3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %8.0gc %3.2fc) par)) | |
| starlevels(\sym{*} 0.05 \sym{**} 0.01 \sym{***} 0.001, label(" \(p<@\)")) | |
| varwidth(20) modelwidth(12) unstack delimiter(&) end(\\) | |
| prehead(`"{"' `"\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}"' `"\begin{tabular}{l*{@E}{c}}"' `"\hline"') posthead("\hline") | |
| postfoot(`"\hline"' `"\addlinespace"' `"N & 340 & 509 & 399 & 1,248 \\"' `"\hline\hline"' `"\end{tabular}"' `"}"' ) | |
| label varlabels(_cons Constant, end("" [1em]) nolast) mlabels(none) nonumbers | |
| collabels(none) substitute(_ \_ "\_cons " \_cons "Total" "Overall") | |
| interaction(" $\times$ ") notype level(95) style(tex) replace; | |
| #delimit cr | |
| *** (CCtable.tex) ************************************************************* | |
| *** This table was created by hand, so no tex output is produced for it ******* | |
| local commitlist "8 12 16" | |
| *** Summarize take-up of commitment contracts *** | |
| foreach X of local commitlist { | |
| * Declare local for labeling | |
| if `X' == 8 loc num "eight" | |
| else if `X' == 12 loc num "twelve" | |
| else loc num "sixteen" | |
| * Chose "more" contract | |
| summarize commit`X' | |
| * Store mean and number of observations | |
| loc takeup = round(r(mean)*100) | |
| loc takeup : di %2.0f `takeup' | |
| latex_write commit`num'rate `takeup' numbers | |
| local obsnum : di %5.0fc `r(N)' | |
| if r(N) > 1000 loc obsnum = subinstr("`obsnum'",",","{,}",.) | |
| latex_write commit`num'obs `obsnum' 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 | |
| } | |
| *** (CCBeliefs2.tex) ********************************************************** | |
| *** Regress expected days vs. probability of meeting threshold, all participants | |
| reg days_0 percent_meet_commit12, robust | |
| est store est11 | |
| reg days_0 percent_meet_anticommit, robust | |
| est store est12 | |
| reg days_0 percent_meet_commit12 percent_meet_anticommit, robust | |
| est store est13 | |
| * Difference of coefficients ("More"-"Fewer") | |
| nlcom diff: _b[percent_meet_commit12]-_b[percent_meet_anticommit], post | |
| * Store differences | |
| local b : di %4.2f _b[diff] | |
| local se : di %4.2f _se[diff] | |
| estadd local diffb "`b'***" : est13 // know significance level via inspection | |
| estadd local diffse "(`se')" : est13 | |
| *** Regress expected days vs. probability of meeting threshold, chose commit & anticommit | |
| reg days_0 percent_meet_commit12 percent_meet_anticommit /// | |
| if commit12 == 1 & anticommit12 == 1, robust | |
| est store est14 | |
| * Difference of coefficients ("More"-"Fewer") | |
| nlcom diff: _b[percent_meet_commit12]-_b[percent_meet_anticommit], post | |
| * Store differences | |
| local b : di %4.2f _b[diff] | |
| local se : di %4.2f _se[diff] | |
| estadd local diffb "`b'***" : est14 // know significance level via inspection | |
| estadd local diffse "(`se')" : est14 | |
| *** Export table | |
| estout est11 est12 est13 est14 using CCBeliefs2.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(percent_meet_commit12 percent_meet_anticommit) wrap varwidth(25) /// | |
| order(percent_meet_commit12 percent_meet_anticommit) /// | |
| mgroups("Subjective expected attendance without incentives", pattern(1 0 0 0) /// | |
| span prefix(\multicolumn{@span}{c}{) suffix(})) /// | |
| stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) /// | |
| varlabels(percent_meet_commit12 "Subj. prob. succeed in \lq\lq more\rq\rq\, contract" percent_meet_anticommit "Subj. prob. succeed in \lq\lq fewer\rq\rq\, contract") /// | |
| collabels(,none) mlabels("(1)" "(2)" "(3)" "(4)") /// | |
| prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// | |
| posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}") | |
| *** (regs_{avg_delta_ex_1,commit}_all.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 | |
| *** Generate behavior change premium variables (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 | |
| ** Store number of observations without an incentive | |
| gen got_contract = (incentive == .) | |
| sum got_contract | |
| latex_write gotcontractobs `r(sum)' numbers | |
| *** Perform series of analyses for whole sample | |
| * Declare restriction for following analysis | |
| loc restrict "!missing(incentive)" | |
| * Store means and standard deviations | |
| foreach v in gap_goal_exp gap_actual_exp{ | |
| if "`v'" == "gap_goal_exp" loc name "goalexp" | |
| else loc name "actexp" | |
| sum `v' if `restrict' | |
| loc mean : di %4.2f r(mean) | |
| loc sd : di %4.2f r(sd) | |
| latex_write `name'mean `mean' numbers | |
| latex_write `name'sd `sd' numbers | |
| } | |
| * Generate z-scores for variables with constant restriction | |
| 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' | |
| } | |
| * Run regressions of behavior change premium with regressors & constant restriction | |
| eststo clear | |
| loc k = 1 | |
| foreach controls in "" "female i.income_cat married ft_student fpt_working advanced i.age_cat"{ | |
| foreach covar in "first_info new_info" "first_info new_info z_gap_goal_exp" "first_info new_info z_gap_actual_exp"{ | |
| * Run regression | |
| reg avg_delta_ex1 wave2 wave3 `covar' `controls' if `restrict', r | |
| eststo spec_`k' | |
| * Store coefficients from certain regressions | |
| if `k' == 1{ | |
| loc coeff : di %4.2f _b[new_info] | |
| latex_write enhinfobcpcoeff `coeff' numbers | |
| } | |
| else if `k' == 2{ | |
| loc coeff : di %4.2f _b[z_gap_goal_exp] | |
| latex_write goalexpbcpcoeff `coeff' numbers | |
| } | |
| else if `k' == 3{ | |
| loc coeff : di %4.2f _b[z_gap_actual_exp] | |
| latex_write actualexpbcpcoeff `coeff' numbers | |
| } | |
| * Store dependent variable mean | |
| ci means avg_delta_ex1 if `restrict' & !missing(gap_actual_exp) | |
| local m : di %4.2f r(mean) | |
| local se : di %4.2f r(se) | |
| estadd local dvmean `m' | |
| estadd local dvse "(`se')" | |
| ci means avg_delta_ex1 if `restrict' & !missing(gap_actual_exp) & /// | |
| control_info == 1 | |
| local mcontrol : di %4.2f r(mean) | |
| local secontrol : di %4.2f r(se) | |
| estadd local dvmeancontrol `mcontrol' | |
| if `k' == 1 latex_write bcpinfoctrlmean `mcontrol' numbers | |
| estadd local dvsecontrol "(`secontrol')" | |
| estadd local wavefe "Yes" | |
| if `k' == 1 latex_write bcpregmean `m' numbers | |
| if "`controls'" != "" estadd local ctrl "Yes" | |
| loc ++k | |
| } | |
| } | |
| * Export regression output | |
| estout spec_1 spec_2 spec_3 using "regs_avg_delta_ex1_all.tex", style(tex) margin replace eqlabels(none) /// | |
| keep(first_info new_info z_gap_goal_exp z_gap_actual_exp) wrap varwidth(25) /// | |
| order(first_info new_info z_gap_goal_exp z_gap_actual_exp) /// | |
| mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// | |
| mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) /// | |
| varlabels(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(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// | |
| stats(dvmean dvse dvmeancontrol dvsecontrol wavefe N, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Wave FEs" "N") fmt(%8.0fc %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}") | |
| * Export regression output with demographic controls | |
| estout spec_4 spec_5 spec_6 using "regs_avg_delta_ex1_all_demo.tex", style(tex) margin replace eqlabels(none) /// | |
| keep(first_info new_info z_gap_goal_exp z_gap_actual_exp) /// | |
| wrap varwidth(25) order(first_info new_info z_gap_goal_exp z_gap_actual_exp) /// | |
| mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// | |
| mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) /// | |
| varlabels(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(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// | |
| stats(dvmean dvse dvmeancontrol dvsecontrol ctrl wavefe N, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Demographic controls" "Wave FEs" "N") fmt(%8.0fc %8.0fc %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}") | |
| * Run regressions of contract take-up on regressors with a constant restriction | |
| preserve | |
| * Reshape to pool contracts | |
| reshape long commit, i(id) j(t) | |
| * Run regressions with constant restriction | |
| eststo clear | |
| loc k = 1 | |
| foreach controls in "" "female i.income_cat married ft_student fpt_working advanced i.age_cat"{ | |
| 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"{ | |
| * Run regression | |
| reg commit i.t wave2 wave3 `covar' `controls' if `restrict', vce(cluster id) | |
| eststo spec_commit`k' | |
| * Store coefficients from certain regressions | |
| if `k' == 1{ | |
| loc coeff : di %2.1f abs(_b[new_info]*100) | |
| latex_write enhinfoMCcoeff `coeff' numbers | |
| } | |
| else if `k' == 2{ | |
| loc coeff : di %2.0f _b[z_avg_delta_ex1]*100 | |
| latex_write bcpMCcoeff `coeff' numbers | |
| } | |
| else if `k' == 3{ | |
| loc coeff : di %2.1f _b[z_gap_goal_exp]*100 | |
| latex_write goalexpMCcoeff `coeff' numbers | |
| } | |
| * Store dependent variable mean | |
| ci means commit 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 commit 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" | |
| if `k' == 1{ | |
| latex_write MCregmean `m' numbers | |
| latex_write MCregmeanPCT `mpct' numbers | |
| } | |
| if "`controls'" != "" estadd local ctrl "Yes" | |
| loc ++k | |
| } | |
| } | |
| * Export regression output | |
| estout spec_commit1 spec_commit2 spec_commit3 spec_commit4 using "regs_commit_pooled_all.tex", /// | |
| style(tex) margin replace eqlabels(none) wrap varwidth(25) /// | |
| keep(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) /// | |
| order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) /// | |
| mgroups("\shortstack{Take-up of \`\`more'' 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 %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}") | |
| * Export regression output with demographic controls | |
| estout spec_commit5 spec_commit6 spec_commit7 spec_commit8 using "regs_commit_pooled_all_demo.tex", /// | |
| style(tex) margin replace eqlabels(none) wrap varwidth(25) /// | |
| keep(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) /// | |
| order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) /// | |
| mgroups("\shortstack{Take-up of \`\`more'' 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 ctrl wavefe ccfe N N_clust, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Demographic controls" "Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %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 | |
| *** additions to numbers.tex ************************************************** | |
| *** Change in visits due to 12-visit contract assignment *** | |
| * Generate variable for comparing treatment with control | |
| gen gotcontract = 1 if treatment == "threshold80_12" | |
| replace gotcontract = 0 if treatment == "control" | |
| * Test for difference and store mean difference by take-up of contract | |
| ttest visits if wave3 == 1 & commit12 == 1, by(gotcontract) | |
| loc takeup : di %3.2f r(mu_2)-r(mu_1) | |
| latex_write wantgottwelvediff `takeup' numbers | |
| ttest visits if wave3 == 1 & commit12 == 0, by(gotcontract) | |
| loc takeup : di %3.2f r(mu_2)-r(mu_1) | |
| latex_write rejectgottwelvediff `takeup' numbers | |
| * Store percentage of those who took up & got the contract who met the threshold | |
| gen wantedgot12visits = visits if treatment == "threshold80_12" & commit12 == 1 | |
| gen under12 = wantedgot12visits < 12 if !missing(wantedgot12visits) | |
| sum under12 | |
| loc pctunder : di %2.0f round(r(mean)*100) | |
| latex_write pctundertwelve `pctunder' numbers | |
| *** Statistics about WTPs at the slider maximum *** | |
| * Reshape data for one observation per participant per incentive | |
| preserve | |
| keep wtp* maxwtp* id | |
| reshape long wtp maxwtp, i(id) j(incentive) | |
| * Generate a variable for the maximum slider value | |
| gen maxval = incentive*30 | |
| * Store percentage of participants who maxed out slider | |
| gen slidermaxed = !missing(maxwtp) | |
| sum slidermaxed | |
| loc pctmaxed : di %2.1f r(mean)*100 | |
| latex_write pctmaxed `pctmaxed' numbers | |
| * Generate variables for fill-in-blank answers relation to maximum slider value | |
| gen overmaxval = maxwtp > maxval if !missing(maxwtp) | |
| gen atmaxval = maxwtp == maxval if !missing(maxwtp) | |
| gen belowmaxval = maxwtp < maxval if !missing(maxwtp) | |
| * Store percent of participants in each category | |
| foreach relation in over at below{ | |
| sum `relation'maxval | |
| loc pct`relation'max : di %2.0f r(mean)*100 | |
| latex_write pct`relation'max `pct`relation'max' numbers | |
| } | |
| restore | |
| *** Share of individual behavior change value measures that are negative *** | |
| * Reshape data for one observation per participant per incentive increase | |
| preserve | |
| keep delta* id | |
| reshape long delta, i(id) j(inc) | |
| * Estimate and store relevant statistic | |
| gen delta_negative = delta < 0 | |
| sum delta_negative | |
| loc pctdeltaneg : di %2.0f r(mean)*100 | |
| latex_write pctdeltaneg `pctdeltaneg' numbers | |
| restore | |
| *** Additional summary statistics *** | |
| * Percent female and male | |
| sum female | |
| loc pctfemale : di %2.0f r(mean)*100 | |
| loc pctfemalealt : di %2.1f r(mean)*100 | |
| loc pctmalealt : di %2.1f (1 - r(mean))*100 | |
| loc fracfemale : di %4.3f r(mean) | |
| loc fracmale : di %4.3f (1 - r(mean)) | |
| foreach stat in pctfemale pctfemalealt pctmalealt fracfemale fracmale{ | |
| latex_write `stat' ``stat'' numbers | |
| } | |
| * Mean imputed age | |
| sum imp_age | |
| loc meanage : di %2.0f r(mean) | |
| latex_write meanage `meanage' numbers | |
| * Percent students | |
| sum ft_student | |
| loc pctstudent : di %2.0f r(mean)*100 | |
| latex_write pctstudent `pctstudent' numbers | |
| * Percent working | |
| sum fpt_working | |
| loc pctworking : di %2.0f r(mean)*100 | |
| latex_write pctworking `pctworking' numbers | |
| * Percent married | |
| sum married | |
| loc pctmarried : di %2.0f r(mean)*100 | |
| latex_write pctmarried `pctmarried' numbers | |
| * Mean visits recorded in past 100 days | |
| sum visits_100 | |
| loc meanpastvisits : di %2.0f r(mean) | |
| latex_write meanpastvisits `meanpastvisits' numbers | |
| * Mean visits recalled in past 100 days | |
| sum past100days_went | |
| loc meanpastvisitsrecall : di %2.0f r(mean) | |
| latex_write meanpastvisitsrecall `meanpastvisitsrecall' numbers | |
| * Attention check | |
| gen failed_attention = passed_attention_check == 0 | |
| sum failed | |
| loc pctfailed : di %2.1f r(mean)*100 | |
| latex_write pctfailedac `pctfailed' numbers | |
| * Chose dominated option | |
| sum areyousure_prefer0_to_20 | |
| loc dom20 = r(N) | |
| sum areyousure_prefer0_to_80 | |
| loc dom80 = r(N) | |
| sum id | |
| loc pctdominated : di %2.1f ((`dom20' + `dom80')/r(N))*100 | |
| latex_write pctchosedom `pctdominated' numbers | |
| * Comprehension check | |
| gen failed_cc = passed_comprehension_check == 0 | |
| sum failed_cc | |
| loc pctfailed : di %2.1f r(mean)*100 | |
| latex_write pctfailedcc `pctfailed' numbers | |
| * Numeracy check | |
| gen passed_nc = 1 if !missing(q137) & !missing(q138) | |
| replace passed_nc = 0 if (q138 == "133" | q138 == "133333" | q138 == "200000" | /// | |
| q138 == "2500" | q138 == "40,000" | q138 == "40,000.00" | /// | |
| q138 == "$400,00.00" | q138 == "400" | q138 == "400,00" | q138 == "40000" | /// | |
| q138 == "4000000" | q138 == "500,000" | q138 == "50000" | q138 == "800000" | /// | |
| q138 == "four") & !missing(passed_nc) | |
| replace passed_nc = 0 if q137 != 100 & !missing(passed_nc) | |
| sum passed_nc | |
| loc pctpassed : di %2.1f r(mean)*100 | |
| latex_write passednumeracy `pctpassed' numbers | |
| * Take-up of contract for fewer visits with & without exclusions above | |
| preserve | |
| reshape long commit anticommit, i(id) j(t) | |
| sum anticommit | |
| loc takeup : di %2.0f r(mean)*100 | |
| latex_write anticommitrate `takeup' numbers | |
| sum anticommit if passed_comprehension_check == 1 /// | |
| & passed_attention_check == 1 & missing(areyousure_prefer0_to_20) /// | |
| & missing(areyousure_prefer0_to_80) | |
| loc takeup : di %2.0f r(mean)*100 | |
| latex_write anticommitrateexcl `takeup' numbers | |
| restore | |
| * Range of percent take-up of contracts for fewer visits | |
| loc anticommitpctmin = 1 // initialize for contract with lowest take-up | |
| loc anticommitpctmax = 0 // initialize for contract with highest take-up | |
| forval i = 8(4)16{ | |
| sum anticommit`i' | |
| if r(mean) > `anticommitpctmax' loc anticommitpctmax = r(mean) | |
| if r(mean) < `anticommitpctmin' loc anticommitpctmin = r(mean) | |
| } | |
| foreach stat in min max{ | |
| loc anticommitpct`stat' : di %4.0f `anticommitpct`stat''*100 | |
| latex_write anticommitpct`stat' `anticommitpct`stat'' numbers | |
| } | |
| * Number of participants in waves 2 & 3 | |
| gen wave23 = (wave2 | wave3) | |
| sum wave23 | |
| loc obs = r(mean)*r(N) | |
| latex_write wtwothreeobs `obs' numbers | |
| * Average expected visits for different incentives | |
| sum days_0 | |
| loc avgzero : di %2.1f r(mean) | |
| latex_write avgexpnoinc `avgzero' numbers | |
| sum days_7 | |
| loc avgseven : di %2.1f r(mean) | |
| latex_write avgexpseveninc `avgseven' numbers | |
| loc diff : di %2.1f `avgseven'-`avgzero' | |
| latex_write avgexpdiffseven `diff' numbers | |
| * Average actual visits for different incentives | |
| sum visits if incentive==0 | |
| loc avgzero : di %2.1f r(mean) | |
| latex_write avgactnoinc `avgzero' numbers | |
| sum visits if incentive==7 | |
| loc avgseven : di %2.1f r(mean) | |
| latex_write avgactseveninc `avgseven' numbers | |
| loc diff : di %2.1f `avgseven'-`avgzero' | |
| latex_write avgactdiffseven `diff' numbers | |
| * Regression of attendance on average past attendance | |
| reg visits past4 | |
| matrix temp = r(table)' | |
| loc b : di %4.3f temp[1,1] | |
| loc se : di %4.3f temp[1,2] | |
| latex_write attcoeff `b' numbers | |
| latex_write attcoeffse `se' numbers | |
| * Effect of $2 piece-rate incentive | |
| gen got_2 = 1 if incentive == 2 | |
| replace got_2 = 0 if treatment == "control" | |
| * On expectations | |
| ttest days_2 == days_0 | |
| * On realized attendance | |
| ttest visits, by(got_2) unpaired | |
| *** Generate pairwise correlation estimates with bootstrapping *** | |
| * Pairwise correlation of behavior change premium at each incentive level | |
| capture program drop avg_pwcorr_bcp | |
| program define avg_pwcorr_bcp, rclass | |
| * Initialize values | |
| loc m = 0 | |
| loc agg_corr = 0 | |
| * Loop through each incentive level | |
| foreach j in 1 2 3 5 7 { | |
| foreach k in 2 3 5 7 12 { | |
| if `j' < `k'{ | |
| pwcorr delta`j' delta`k' | |
| loc agg_corr = `agg_corr' + r(rho) | |
| loc ++m | |
| } | |
| } | |
| } | |
| * Average pairwise correlation | |
| return scalar avg_pwcorr = `agg_corr'/`m' | |
| end | |
| * Generate estimates with bootstrapping | |
| bootstrap avg_pwcorr_bcp = r(avg_pwcorr), reps(1000) cluster(id) seed(12345) /// | |
| nodrop level(95): avg_pwcorr_bcp | |
| estat bootstrap, all | |
| * Store estimates | |
| matrix temp_b = e(b) | |
| loc avg : di %3.2f temp_b[1,1] | |
| latex_write avgbcpcorr `avg' numbers | |
| matrix temp_se = e(se) | |
| loc stderr : di %3.2f temp_se[1,1] | |
| latex_write avgbcpcorrse `stderr' numbers | |
| * Pairwise correlation of take-up of each more-visits contract | |
| capture program drop avg_pwcorr_mc | |
| program define avg_pwcorr_mc, rclass | |
| * Initialize values | |
| loc m = 0 | |
| loc agg_corr = 0 | |
| * Loop through each more-visits contract | |
| foreach j in 8 12 { | |
| foreach k in 12 16 { | |
| if `j' < `k'{ | |
| pwcorr commit`j' commit`k' | |
| loc agg_corr = `agg_corr' + r(rho) | |
| loc ++m | |
| } | |
| } | |
| } | |
| * Average pairwise correlation | |
| return scalar avg_pwcorr = `agg_corr'/`m' | |
| end | |
| * Generate estimates with bootstrapping | |
| bootstrap avg_pwcorr_mc = r(avg_pwcorr), reps(1000) cluster(id) seed(12345) /// | |
| nodrop level(95): avg_pwcorr_mc | |
| estat bootstrap, all | |
| * Store estimates | |
| matrix temp_b = e(b) | |
| loc avg : di %3.2f temp_b[1,1] | |
| latex_write avgMCcorr `avg' numbers | |
| matrix temp_se = e(se) | |
| loc stderr : di %3.2f temp_se[1,1] | |
| latex_write avgMCcorrse `stderr' numbers | |