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65.6 kB
| /******************************************************************************* | |
| This file contains the code to replicate the tables and figures in the paper. | |
| Contents: | |
| 0. Generate or import final dataset | |
| Figure 1: The Season in 1841 | |
| Figure 2: Pressure marry young. | |
| Figure 3: Attendees at royal parties, by type of event. | |
| Figure 4: Synthetic probability to marry during the Season's interruption (1861-63). | |
| Table 1: Marriage market before, during, and after the Season's interruption. | |
| Figure 5: The interruption of the Season and distance between spouses' seats. | |
| Table 2: The Season's interruption and marriage outcomes, probit and OLS estimation. | |
| Figure 6: Placebo tests. Dependent variable: married a commoner. | |
| Figure 7: Peer-commoner intermarriage, Probit estimation with age dummies. | |
| Table 3: The Season's interruption and marriage outcomes, IV estimation. | |
| Table 4: Contingency tables | |
| Table 5: The interruption and sorting by title, non-parametric estimates. | |
| Figure 8: Sorting by landholdings, non-parametric estimation. | |
| Table 6: Women's marriages to commoners and her family's political power, IV estimation. | |
| Table 7: Determinants of investments in state education, IV estimation. | |
| The file "3 Replication package\programs00_setup.do" installs the required ado | |
| packages sets. It also sets the path to all directories. If you want to run this | |
| do file individually, after installing the required packages unnmark and specify | |
| location of parent directory here: | |
| *global dirroot = "SPECIFY\LOCATION\OF\PARENT\DIRECTORY\HERE" | |
| and then run the following lines for the secondary directories (specified as | |
| downloaded in replication package): | |
| global dirdata = "${dirroot}\data" | |
| global dirdta = "${dirroot}\programs\01_dataprep\dta-temp-files" | |
| global dirresu = "${dirroot}\programs\results" | |
| *******************************************************************************/ | |
| * Set-up: | |
| do "${dirroot}\programs\00_setup.do" | |
| * ============================================================================== | |
| * 0. GENERATE OR IMPORT FINAL DATASET: | |
| * ------------------------------------------------------------------------------ | |
| clear all | |
| set more off | |
| set matsize 10000 | |
| * To generate the final dataset run the following line: | |
| do "${dirroot}\programs\01_dataprep\master-dataprep.do" | |
| * Alternatively, you can import the final dataset data directly by writting | |
| * use "${dirdata}\final-data.dta", clear | |
| * ============================================================================== | |
| * ============================================================================== | |
| * FIGURE 1: | |
| * The Season in 1841. | |
| * ------------------------------------------------------------------------------ | |
| * Import Sheppard (1977)'s data on 4,000 movements into and out of London of | |
| * families participating in the Season of 1841, as reported in The Morning Post. | |
| import delimited "${dirdata}\sheppard.txt", clear | |
| label var week "Week" | |
| label var arrivals "Arrivals to London of members of Fashionable World" | |
| label var departures "Departures from London of members of Fashionable World" | |
| label var cumulative "Cumulative members of Fashionable World in London" | |
| * Figure 1: | |
| twoway (bar arrivals week, fcolor(dknavy) fintensity(inten50) lcolor(dknavy) barw(1)) /// | |
| (bar departures week, fcolor(maroon) fintensity(inten50) lcolor(maroon) barw(1)) /// | |
| (line cumulative week, lcolor(black)) /// | |
| (scatter cumulative week if week==4 | week==15 | week==20 | week==32), /// | |
| ytitle("Number of families") xtitle("") /// | |
| legend(col(3) on order(1 "Arrivals" 2 "Departures" 3 "Cummulative")) graphregion(color(white)) /// | |
| xlabel(1 "Jan" 5 "Feb" 9 "Mar" 13 "Apr" 17 "May" 22 "Jun" 26 "Jul" 31 "Ago" 35 "Sep" 39 "Oct" 44 "Nov" 48 "Dec") /// | |
| text(310 4 "Opening of Parliament", place(e) size(small)) /// | |
| text(440 17 "Queen arrives to London", place(s) size(small)) /// | |
| text(850 20 "Royal ball", place(n) size(small)) /// | |
| text(420 32 "End of the Season", place(e) size(small)) | |
| graph export "${dirresu}\Figure1.pdf", as(pdf) replace | |
| * ============================================================================== | |
| * FIGURE 2: | |
| * Pressure marry young. | |
| * ------------------------------------------------------------------------------ | |
| * Import final dataset | |
| use "${dirdata}\final-data.dta", clear | |
| * Sample: all 796 peers' daughters first marrying in 1851-75 | |
| keep if wom==1 & nthismarriage==1 & myear>=1851 & myear<=1875 & mage!=. | |
| * Variables for Figure | |
| gen agegroup = . // age groups in figure | |
| forvalues i=18(3)35{ | |
| replace agegroup = `i' if mage>=`i' & mage<=`i'+2 | |
| } | |
| replace agegroup = 30 if mage>=30 | |
| keep if agegroup!=. & agegroup<=30 | |
| gen duk = (rankspo==5) // marrying a dukes' heir | |
| * Figure 2, first panel | |
| preserve | |
| collapse (mean) duk (sd) sd_duk=duk (count) n_duk=duk, by(agegroup) | |
| gen hi_duk = duk + invttail(n_duk-1,0.025)*(sd_duk / sqrt(n_duk)) | |
| gen lo_duk = duk - invttail(n_duk-1,0.025)*(sd_duk / sqrt(n_duk)) | |
| label var agegroup "Age at marriage" | |
| label var duk "% marrying duke, marquis, earl heir" | |
| label var hi_duk "CI high, % marrying duke, marquis, earl heir" | |
| label var lo_duk "CI low, % marrying duke, marquis, earl heir" | |
| twoway (scatter duk agegroup, lcolor(dknavy) mcolor(black) msymbol(circle)) /// | |
| (rcap hi_duk lo_duk agegroup, lcolor(black)), /// | |
| xlabel(18 "18-20" 21 "21-23" 24 "24-26" 27 "27-29" 30 "{&ge}30", labsize(medlarge) angle(45)) /// | |
| ylabel(0 "0" 0.1 "10" 0.2 "20" 0.3 "30", labsize(medlarge)) /// | |
| legend(on order(1 "All peers' daughters") ring(0) position(1) nobox region(lstyle(none))) /// | |
| ytitle("% marrying duke, marquis, earl heir", size(medlarge)) /// | |
| xtitle("Age at marriage", size(medlarge)) /// | |
| name(fig2panela, replace) graphregion(color(white)) | |
| restore | |
| * Figure 2, second panel | |
| preserve | |
| collapse (mean) duk (sd) sd_duk=duk (count) n_duk=duk, by(agegroup prank) | |
| gen hi_duk = duk + invttail(n_duk-1,0.025)*(sd_duk / sqrt(n_duk)) | |
| gen lo_duk = duk - invttail(n_duk-1,0.025)*(sd_duk / sqrt(n_duk)) | |
| replace lo_duk = 0 if lo_duk<0 // restrict lower bound of c.i. to zero for visual purposes | |
| label var duk "% marrying duke, marquis, earl heir" | |
| label var hi_duk "CI high, % marrying duke, marquis, earl heir" | |
| label var lo_duk "CI low, % marrying duke, marquis, earl heir" | |
| gen agegroup1 = agegroup-0.3 // separate estimates for the two groups for visibility | |
| gen agegroup0 = agegroup+0.3 | |
| label var agegroup "Age at marriage" | |
| label var agegroup0 "Age at marriage" | |
| label var agegroup1 "Age at marriage" | |
| twoway (rcap hi_duk lo_duk agegroup1 if prank==5, lcolor(blue)) /// | |
| (rcap hi_duk lo_duk agegroup0 if prank==4, lcolor(red)) /// | |
| (scatter duk agegroup1 if prank==5, lcolor(blue) mcolor(blue) msymbol(diamond)) /// | |
| (scatter duk agegroup0 if prank==4, lcolor(red) msymbol(diamond) mlc(red) mfc(white)), /// | |
| ylabel(0 "0" 0.1 "10" 0.2 "20" 0.3 "30" 0.4 "40", labsize(medlarge)) /// | |
| xlabel(18 "18-20" 21 "21-23" 24 "24-26" 27 "27-29" 30 "{&ge}30", labsize(medlarge) angle(45)) /// | |
| legend(on order(3 "Dukes', Marquis', Earls' daughters" 4 "Barons', Viscounts' daughters") rows(2) ring(0) position(1) nobox region(lstyle(none))) /// | |
| ytitle(" ", size(medlarge)) /// | |
| xtitle("Age at marriage", size(medlarge)) /// | |
| name(fig2panelb, replace) graphregion(color(white)) | |
| restore | |
| * Figure 2, combined panels | |
| graph combine fig2panela fig2panelb, graphregion(color(white)) | |
| graph export "${dirresu}\Figure2.pdf", replace | |
| graph drop fig2panela fig2panelb | |
| * ============================================================================== | |
| * FIGURE 3: | |
| * Attendees at royal parties, by type of event. | |
| * ------------------------------------------------------------------------------ | |
| * Import data with the invitations to royal parties, the number of attendees | |
| * at each party, and the numbers presented at court in the Seasons of 1851-75. | |
| import delimited "${dirdata}\seasonattend.txt", clear | |
| * Calculate attendance to royal parties, by type of event | |
| gen str15 partytype2 = partytype | |
| replace partytype2 = "Concert and Evening party" if partytype=="Concert" | partytype=="Evening Party" | |
| replace partytype2 = "Breakfast and Afternoon party" if partytype=="Breakfast" | partytype=="Afternoon" | |
| replace partytype2 = "Children's Ball" if partytype2=="Child's Ball" | |
| local j = 1 | |
| foreach x in "Ball" "Concert and Evening party" "Breakfast and Afternoon party" "Children's Ball" "Court"{ | |
| bysort year: egen tattend`j' = sum(attended) if partytype2=="`x'" | |
| gsort year -tattend`j' | |
| by year: replace tattend`j' = tattend`j'[1] if tattend`j'==. | |
| replace tattend`j' = 0 if tattend`j'==. | |
| local j = `j'+1 | |
| } | |
| gen tAttend2 = tattend1+tattend2 | |
| gen tAttend3 = tAttend2+tattend3 | |
| gen tAttend4 = tAttend3+tattend4 | |
| gen tAttend5 = tAttend4+tattend5 | |
| collapse tattend1 tAttend2 tAttend3 tAttend4 tAttend5 court, by(year) | |
| * Figure 3 | |
| twoway /// | |
| (bar tattend1 year, barw(0.7) bcolor(dknavy) yaxis(1)) /// | |
| (rbar tattend1 tAttend2 year, bcolor(orange) barw(0.7) yaxis(1)) /// | |
| (rbar tAttend2 tAttend3 year, bcolor(forest_green) barw(0.7) yaxis(1)) /// | |
| (rbar tAttend3 tAttend4 year, bcolor(maroon) barw(0.7) yaxis(1)) /// | |
| (rbar tAttend4 tAttend5 year, bcolor(teal) barw(0.7) yaxis(1)) /// | |
| (line court year, yaxis(2) lcolor(black)), /// | |
| ytitle("attendees", axis(1)) ytitle("debutantes", axis(2)) /// | |
| legend(on order(1 "Ball" 2 "Concert and Evening party" 3 "Children's Ball" /// | |
| 4 "Breakfast and Afternoon party" 5 "Court reception" 6 "Debutantes presented at court (Ellenberger 1990)") size(small) nobox region(lstyle(none))) /// | |
| xtitle("") xlabel(1851(1)1875, angle(90)) graphregion(color(white)) | |
| graph export "${dirresu}\Figure3.pdf", replace | |
| * ============================================================================== | |
| * FIGURE 4: | |
| * Synthetic probability to marry during the Season's interruption (1861-63). | |
| * ------------------------------------------------------------------------------ | |
| * Import final dataset | |
| use "${dirdata}\final-data.dta", clear | |
| * Figure 4 | |
| keep if age1861>=15 & age1861<=35 | |
| collapse syntheticT, by(age1861) | |
| twoway (connect syntheticT age1861, sort lcolor(dknavy) mcolor(dknavy) msymbol(diamond)), /// | |
| ytitle("synthetic probability to marry in 1861-63 (%)") xtitle("age in 1861") /// | |
| legend(off) graphregion(color(white)) | |
| graph export "${dirresu}\Figure4.pdf", replace | |
| * ============================================================================== | |
| * TABLE 1: | |
| * Marriage market before, during, and after the Season's interruption. | |
| * ------------------------------------------------------------------------------ | |
| * Import final dataset | |
| clear all | |
| use "${dirdata}\final-data.dta", clear | |
| * Sample and labels | |
| keep if wom==1 & nthismarriage==1 & myear>=1858 & myear<=1866 | |
| xtile fATot_tab1 = fatotal, nq(100) // percentiles for Table 1's sample | |
| gen normal = 1-mourn // to have Interruption - Normal | |
| global balancelist mage dage biorder pr4 hengpee fATot_tab1 | |
| * Results | |
| mat define tab1 = (.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.\.,.,.,.,.,.,.,.,.,.) | |
| * Panel A, mean | |
| qui estpost sum $balancelist if normal==0 | |
| qui matrix mu=e(mean) | |
| forvalues j=1/7{ | |
| mat tab1[`j',1] = mu[1,`j'] | |
| } | |
| mat drop mu | |
| qui estpost sum $balancelist if normal==1 & myear<=1863 | |
| qui matrix mu=e(mean) | |
| forvalues j=1/7{ | |
| mat tab1[`j',3] = mu[1,`j'] | |
| } | |
| mat drop mu | |
| qui estpost sum $balancelist if normal==1 & myear>1863 | |
| qui matrix mu=e(mean) | |
| forvalues j=1/7{ | |
| mat tab1[`j',7] = mu[1,`j'] | |
| } | |
| mat drop mu | |
| * Panel A, ttest | |
| eststo tstbef: qui estpost ttest $balancelist if myear<=1863, by(normal) | |
| qui matrix di1=e(b) | |
| qui matrix di2=e(se) | |
| forvalues j=1/7{ | |
| mat tab1[`j',5] = di1[1,`j'] | |
| mat tab1[`j',6] = di2[1,`j'] | |
| } | |
| mat drop di1 di2 | |
| eststo tstaft: qui estpost ttest $balancelist if myear>=1861, by(normal) | |
| qui matrix di1=e(b) | |
| qui matrix di2=e(se) | |
| forvalues j=1/7{ | |
| mat tab1[`j',9] = di1[1,`j'] | |
| mat tab1[`j',10] = di2[1,`j'] | |
| } | |
| mat drop di1 di2 | |
| * Panel A, se of means | |
| local j = 1 | |
| foreach x in mage dage biorder pr4 hengpee fATot_tab1{ | |
| qui ttest `x' if myear<=1863, by(normal) | |
| local se1 = `r(sd_1)'/sqrt(`r(N_1)') | |
| local se2 = `r(sd_2)'/sqrt(`r(N_2)') | |
| mat tab1[`j',2] = `se1' | |
| mat tab1[`j',4] = `se2' | |
| qui ttest `x' if myear>=1861, by(normal) | |
| local se2 = `r(sd_2)'/sqrt(`r(N_2)') | |
| mat tab1[`j',8] = `se2' | |
| local j = `j'+1 | |
| } | |
| * Panel B, mean | |
| collapse wrisk mourn normal, by(myear) | |
| qui estpost sum wrisk if normal==0 | |
| qui matrix mu=e(mean) | |
| mat tab1[7,1] = mu[1,1] | |
| mat drop mu | |
| qui estpost sum wrisk if normal==1 & myear<=1863 | |
| qui matrix mu=e(mean) | |
| mat tab1[7,3] = mu[1,1] | |
| mat drop mu | |
| qui estpost sum wrisk if normal==1 & myear>1863 | |
| qui matrix mu=e(mean) | |
| mat tab1[7,7] = mu[1,1] | |
| mat drop mu | |
| * Panel B, ttest | |
| eststo tstbef: qui estpost ttest wrisk if myear<=1863, by(normal) | |
| qui matrix di1=e(b) | |
| qui matrix di2=e(se) | |
| mat tab1[7,5] = di1[1,1] | |
| mat tab1[7,6] = di2[1,1] | |
| mat drop di1 di2 | |
| eststo tstaft: qui estpost ttest wrisk if myear>=1861, by(normal) | |
| qui matrix di1=e(b) | |
| qui matrix di2=e(se) | |
| mat tab1[7,9] = di1[1,1] | |
| mat tab1[7,10] = di2[1,1] | |
| mat drop di1 di2 | |
| * Panel B, se of means | |
| qui ttest wrisk if myear<=1863, by(normal) | |
| local se1 = `r(sd_1)'/sqrt(`r(N_1)') | |
| local se2 = `r(sd_2)'/sqrt(`r(N_2)') | |
| mat tab1[7,2] = `se1' | |
| mat tab1[7,4] = `se2' | |
| qui ttest wrisk if myear>=1861, by(normal) | |
| local se2 = `r(sd_2)'/sqrt(`r(N_2)') | |
| mat tab1[7,8] = `se2' | |
| * Table 1 | |
| mat list tab1 | |
| mat colnames tab1 = "Int:mean" "Int:se" "Bef:mean" "Bef:se" "Diff:mean" "Diff:se" "Aft:mean" "Aft:se" "Diff:mean" "Diff:se" | |
| mat rownames tab1 = "Panel A: Age at first marriage" "Panel A: Life expectancy" "Panel A: Birth order (excl heirs)" "Panel A: Duke/Earl/Marquis daughter" "Panel A: Peerage of England" "Panel A: Family acreage (percentile)" "Panel B: Female cohort size" | |
| esttab matrix(tab1, fmt(1 1 1 1 1 1 1)) using "${dirresu}\Table1.tex", /// | |
| mlabel("Table 1") replace | |
| * ============================================================================== | |
| * FIGURE 5: | |
| * The interruption of the Season and distance between spouses' seats. | |
| * ------------------------------------------------------------------------------ | |
| * Import final dataset | |
| use "${dirdata}\final-data.dta", clear | |
| * Figure 5 | |
| keep if wom==1 & nthismarriage<2 & myear>=1858 & myear<=1866 | |
| collapse (mean) dist (mean) attendLC, by(myear) | |
| twoway (bar attendLC myear, barw(0.3) yaxis(2) color(sand) xlabel(1858(1)1866)) /// | |
| (connect dist myear, yaxis(1) mcolor(black) lcolor(black) msymbol(diamond)), /// | |
| ytitle("miles", axis(1)) ytitle("attendees", axis(2)) xtitle("year") /// | |
| legend(on order(1 "Royal parties" 2 "Distance between spouses' seats")) /// | |
| graphregion(color(white)) | |
| graph export "${dirresu}\Figure5.pdf", replace | |
| * ============================================================================== | |
| * TABLE 2: | |
| * The Season's interruption and marriage outcomes, probit and OLS estimation. | |
| * ------------------------------------------------------------------------------ | |
| * Table 2, columns [1] to [5] | |
| use "${dirdata}\final-data.dta", clear | |
| keep if base_sample==1 | |
| /* Note: Baseline sample is 644 peers' daughters aged 15-35 in 1861 who ever | |
| married, excluding second-marriages, women married to foreigners, and | |
| members of the royal family. */ | |
| global controls pr4 biorder hengpee | |
| label var distlondon "Distance" | |
| local j = 1 | |
| foreach x in "" distlondon{ | |
| local panel "A" | |
| if `j'==2{ | |
| local panel "B" | |
| } | |
| qui probit cOut syntheticT $controls `x', cluster(byear) | |
| qui estat classification | |
| local pcp1 = round(r(P_corr),1) | |
| qui summ cOut if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(4) coefastr ctitle("M common") /// | |
| addtext(% correct, `pcp1', Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex replace | |
| qui probit mheir syntheticT $controls `x', cluster(byear) | |
| qui estat classification | |
| local pcp1 = round(r(P_corr),1) | |
| qui summ mheir if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(4) coefastr ctitle("M heir") /// | |
| addtext(% correct, `pcp1', Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex | |
| qui reg fmissmatch syntheticT $controls `x', cluster(byear) | |
| qui summ fmissmatch if e(sample)==1 | |
| local mdepvar = round(r(mean),1) | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(3) coefastr ctitle("Diff abs") /// | |
| addtext(% correct, . , Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex | |
| qui reg fmissmatch2 syntheticT $controls `x', cluster(byear) | |
| qui summ fmissmatch2 if e(sample)==1 | |
| local mdepvar = round(r(mean),1) | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(3) coefastr ctitle("Diff h-w") /// | |
| addtext(% correct, . , Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex | |
| qui probit fdown syntheticT $controls `x', cluster(byear) | |
| qui estat classification | |
| local pcp1 = round(r(P_corr),1) | |
| qui summ fdown if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(4) coefastr ctitle("M down") /// | |
| addtext(% correct, `pcp1', Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex | |
| local j = `j'+1 | |
| } | |
| * Table 2, column [6] | |
| use "${dirdata}\final-data.dta", clear | |
| keep if marital_rates_sample==1 | |
| label var distlondon "Distance" | |
| /* Note: To examine marital rates, I consider women aged 15-35 in 1861, | |
| whether they married or not. To avoid counting women who died at an early | |
| age as celibate, I exclude those dying before age 35 (see p.20). */ | |
| local j = 1 | |
| foreach x in "" distlondon{ | |
| local panel "A" | |
| if `j'==2{ | |
| local panel "B" | |
| } | |
| qui probit celibacy syntheticT $controls `x', cluster(byear) | |
| qui estat classification | |
| local pcp1 = round(r(P_corr),1) | |
| qui summ celibacy if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table2_`panel'", keep(syntheticT distlondon) nocons nor2 /// | |
| label dec(4) coefastr ctitle("never M") /// | |
| addtext(% correct, `pcp1', Mean of Dep Var, `mdepvar', Controls, YES) /// | |
| tex | |
| local j = `j'+1 | |
| } | |
| * Small cluster correction (bootstrap-t procedure of Cameron, Gelbach and Miller, 2008) | |
| /* Note: Results stored in log file in the following location: | |
| 3 Replication package\results\Table2_smallcluster.log. */ | |
| clear all | |
| use "${dirdata}\final-data.dta", clear | |
| gsort surname title -nthismarr // to get stable results | |
| do "${dirauxp}\cgmreg.do" // if not run in setup | |
| capture log close // save results in log file | |
| cd "${dirresu}" | |
| log using Table2_smallcluster.log, replace | |
| keep if wom==1 & nthismarriage<2 & age1861>=15 & age1861<=35 // sample | |
| preserve | |
| keep if nthismarr==1 & myear!=. // married | |
| foreach x in "" distlondon{ | |
| qui probit cOut syntheticT $controls `x', cluster(byear) | |
| keep if e(sample)==1 // keep sample of non-missing variables | |
| clustse probit cOut syntheticT $controls `x', cluster(byear) method(pairs) reps(5000) | |
| clustse probit mheir syntheticT $controls `x', cluster(byear) method(pairs) reps(5000) | |
| cgmwildboot fmissmatch syntheticT $controls `x', cluster(byear) bootcluster(byear) reps(5000) | |
| cgmwildboot fmissmatch2 syntheticT $controls `x', cluster(byear) bootcluster(byear) reps(5000) | |
| clustse probit fdown syntheticT $controls `x', cluster(byear) method(pairs) reps(5000) | |
| } | |
| restore | |
| keep if dage>35 & dyear>byear+1 & prank>1 // married and unmarried women | |
| foreach x in "" distlondon{ | |
| qui probit celibacy syntheticT $controls `x', cluster(byear) | |
| keep if e(sample)==1 // keep sample of non-missing variables | |
| clustse probit celibacy syntheticT $controls `x', cluster(byear) method(pairs) reps(5000) | |
| } | |
| log close | |
| * ============================================================================== | |
| * FIGURE 6: | |
| * Placebo tests. Dependent variable: married a commoner. | |
| * ------------------------------------------------------------------------------ | |
| * Import placebo dataset | |
| use "${dirdata}\placebo-data.dta", clear | |
| graph drop _all | |
| * Estimates for baseline sample | |
| global controls pr4 biorder hengpee | |
| qui probit cOut syntheticT $controls distlondon if nthismarr==1 & base_sample==1, cluster(byearclst) | |
| qui margins, dydx(*) post | |
| estimates store baseEST | |
| * Placebo estimates | |
| sort refno sample01 // drop observations in both baseline and placebo samples | |
| by refno: gen dup=_N | |
| by refno: drop if sample0[1]!= sample0[2] & dup>1 | |
| keep if nthismarr==1 | |
| drop syntheticT // just for label purposes | |
| gen syntheticT = synthetic_plac | |
| forvalues i=1811/1851{ | |
| qui probit cOut syntheticT $controls distlondon if sample01==`i' & sample0=="placebo", cluster(byearclst) | |
| qui margins, dydx(*) post | |
| estimates store pE`i' | |
| } | |
| * Figure | |
| graph drop _all | |
| coefplot (baseEST, msymbol(circle)) (baseEST, mcolor(white) noci) (pE1851, pstyle(p2)) (pE1850, pstyle(p2)) /// | |
| (pE1849, pstyle(p2)) (pE1848, pstyle(p2)) (pE1847, pstyle(p2)) /// | |
| (pE1846, pstyle(p2)) (pE1845, pstyle(p2)) (pE1844, pstyle(p2)) /// | |
| (pE1843, pstyle(p2)) (pE1842, pstyle(p2)) (pE1841, pstyle(p2)) /// | |
| (pE1840, pstyle(p2)) (pE1839, pstyle(p2)) (pE1838, pstyle(p2)) /// | |
| (pE1837, pstyle(p2)) (pE1836, pstyle(p2)) (pE1835, pstyle(p2)) /// | |
| (pE1834, pstyle(p2)) (pE1833, pstyle(p2)) (pE1832, pstyle(p2)) /// | |
| (pE1831, pstyle(p2)) (pE1830, pstyle(p2)) (pE1829, pstyle(p2)) /// | |
| (pE1828, pstyle(p2)) (pE1827, pstyle(p2)) (pE1826, pstyle(p2)) /// | |
| (pE1825, pstyle(p2)) (pE1824, pstyle(p2)) (pE1823, pstyle(p2)) /// | |
| (pE1822, pstyle(p2)) (pE1821, pstyle(p2)) (pE1820, pstyle(p2)) /// | |
| (pE1819, pstyle(p2)) (pE1818, pstyle(p2)) (pE1817, pstyle(p2)) /// | |
| (pE1816, pstyle(p2)) (pE1815, pstyle(p2)) (pE1814, pstyle(p2)) /// | |
| (pE1813, pstyle(p2)) (pE1812, pstyle(p2)) (pE1811, pstyle(p2)), /// | |
| drop(biorder hengpee pr4 pr_3 ̇_cons distlondon) /// | |
| msymbol(d) mfcolor(white) levels(95 90) graphregion(color(white)) /// | |
| title("Dep. Var: Married a commoner", color(black)) ytitle("mg. effect of T (synthetic prob.)") xtitle("years of placebo interruption") /// | |
| ylabel(-0.015(0.005)0.015, nogrid) legend(on order(3 "Baseline (1861-63)" 9 "Placebo") rows(2) ring(0) position(5) bmargin(large)) /// | |
| xlabel(0.568 "1851-53" 0.6816 "1846-48" 0.7955 "1841-43" 0.909 "1836-38" 1.023 "1831-33" 1.1366 "1826-28" 1.24939 "1821-23" 1.36392 "1816-18" 1.4775 "1811-13", angle(45)) /// | |
| yline(0) lpattern(dash) baselevels vert /// | |
| xline(0.568, lpattern(dot) lcolor(gray)) /// | |
| xline(0.6816, lpattern(dot) lcolor(gray)) /// | |
| xline(0.7955, lpattern(dot) lcolor(gray)) /// | |
| xline(0.909, lpattern(dot) lcolor(gray)) /// | |
| xline(1.023, lpattern(dot) lcolor(gray)) /// | |
| xline(1.1366, lpattern(dot) lcolor(gray)) /// | |
| xline(1.24939, lpattern(dot) lcolor(gray)) /// | |
| xline(1.36392, lpattern(dot) lcolor(gray)) /// | |
| xline(1.4775, lpattern(dot) lcolor(gray)) /// | |
| text(0.00539529 0.57037 ".037", size(vsmall) orientation(vertical)) /// | |
| text(0.00539529 0.59037 ".06", size(vsmall) orientation(vertical)) /// | |
| text(0.00250475 0.613635 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00276912 0.636005 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.0012222 0.658375 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00079789 0.6816 ".00", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00076157 0.70397 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00128846 0.727235 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00131826 0.749605 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00379514 0.771975 ".02", size(vsmall) orientation(vertical)) /// | |
| text(0.00402036 0.7955 ".02", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00382393 0.81761 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00283652 0.840875 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00210621 0.86414 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00346859 0.88651 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00176394 0.909 ".00", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.0017114 0.932145 ".00", size(vsmall) orientation(vertical)) /// | |
| text(0.00205746 0.954515 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00234219 0.97778 ".01", size(vsmall) orientation(vertical)) /// | |
| text(0.00537774 1.00015 ".12", size(vsmall) orientation(vertical)) /// | |
| text(0.0057546 1.023 ".14", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00787327 1.04579 ".41", size(vsmall) orientation(vertical)) /// | |
| text(0.00696466 1.06816 ".23", size(vsmall) orientation(vertical)) /// | |
| text(0.00774832 1.09142 ".25", size(vsmall) orientation(vertical)) /// | |
| text(0.00742015 1.11379 ".20", size(vsmall) orientation(vertical)) /// | |
| text(0.008436 1.1366 ".31", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00712933 1.15943 ".22", size(vsmall) orientation(vertical)) /// | |
| text(0.00506362 1.1818 ".08", size(vsmall) orientation(vertical)) /// | |
| text(0.00545438 1.20506 ".10", size(vsmall) orientation(vertical)) /// | |
| text(0.00608598 1.22743 ".12", size(vsmall) orientation(vertical)) /// | |
| text(0.00530855 1.24939 ".13", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00537472 1.27307 ".17", size(vsmall) orientation(vertical)) /// | |
| text(0.00442368 1.29454 ".08", size(vsmall) orientation(vertical)) /// | |
| text(0.0031978 1.3187 ".03", size(vsmall) orientation(vertical)) /// | |
| text(0.00497223 1.34107 ".09", size(vsmall) orientation(vertical)) /// | |
| text(0.00586515 1.36392 ".16", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) /// | |
| text(0.00497563 1.38671 ".11", size(vsmall) orientation(vertical)) /// | |
| text(0.00487153 1.40908 ".10", size(vsmall) orientation(vertical)) /// | |
| text(0.00658739 1.43145 ".21", size(vsmall) orientation(vertical)) /// | |
| text(0.00614651 1.45471 ".17", size(vsmall) orientation(vertical)) /// | |
| text(0.00672715 1.4775 ".19", size(vsmall) orientation(vertical) box bcolor(white) fcolor(white) lcolor(white)) | |
| graph export "${dirresu}\Figure6.pdf", replace | |
| * Tests equality of coefficients | |
| /* Note: the following tests for the equality of coefficients report all the | |
| p-values displayed in the Figure above */ | |
| use "${dirdata}\placebo-data.dta", clear | |
| keep if nthismarr==1 | |
| gen syntheticT0 = syntheticT // just for label purposes | |
| replace syntheticT0 = synthetic_plac if synthetic_plac!=. | |
| qui probit cOut syntheticT0 $controls distlondon if sample0=="baseline" | |
| estimates store myreg0 | |
| sort refno sample01 // drop observations in both baseline and placebo samples | |
| by refno: gen dup=_N | |
| by refno: drop if sample0[1]!= sample0[2] & dup>1 | |
| *local count10 = 0 | |
| *local count5 = 0 | |
| *local count1 = 0 | |
| forvalues i=1851(-1)1811{ | |
| qui probit cOut syntheticT0 $controls distlondon if sample01==`i' & sample0=="placebo" | |
| estimates store myreg`i' | |
| * tests | |
| qui suest myreg0 myreg`i', cluster(byearclst) | |
| display "---- `i' ----" | |
| test [myreg0_cOut]syntheticT0=[myreg`i'_cOut]syntheticT0 | |
| local pval = round(`r(p)',0.001) | |
| di `pval' | |
| } | |
| * ============================================================================== | |
| * FIGURE 7: | |
| * Peer-commoner intermarriage, Probit estimation with age dummies. | |
| * ------------------------------------------------------------------------------ | |
| * Import placebo dataset | |
| use "${dirdata}\placebo-data.dta", clear | |
| global controls pr4 biorder hengpee | |
| * Panel A: baseline sample | |
| fvset base 16 age1861 | |
| qui probit cOut i.age1861 $controls if base_sample==1, cluster(byearclst) | |
| qui margins, dydx(*) predict(pr) post | |
| estimates store BASE | |
| fvset base 0 age1861 | |
| qui reg syntheticT i.age1861 if base_sample==1, nocons | |
| estimates store BASEsynth | |
| coefplot (BASE, label("cohort-level effect (left axis)") ylabel(-0.2(0.1)0.5)) /// | |
| (BASEsynth, label("synthetic prob. of marrying at interruption (right axis)") axis(2) ylabel(5(5)25, axis(2)) offset(-0.05) recast(line) symbol(none)), /// | |
| drop(biorder hengpee pr4 ̇_cons 0.age1861 15.age1861 27.age1861 28.age1861 29.age1861 30.age1861 31.age1861 32.age1861 33.age1861 34.age1861 35.age1861) /// | |
| msymbol(d) mfcolor(white) levels(99 95 90) graphregion(color(white)) /// | |
| title("Baseline", color(black)) xtitle(age in 1861) ytitle("prob. of marrying a commoner") /// | |
| legend(on rows(2) region(lstyle(none))) /// | |
| xlabel(1 "16" 2 "17" 3 "18" 4 "19" 5 "20" 6 "21" 7 "22" 8 "23" 9 "24" 10 "25" 11 "26") /// | |
| yline(0) ylabel(-0.2(0.1)0.6) lpattern(dash) name(base, replace) vert baselevels | |
| * Panel B: placebo | |
| sort refno sample01 // drop observations in both baseline and placebo samples | |
| by refno: gen dup=_N | |
| by refno: drop if sample0[1]!= sample0[2] & dup>1 | |
| keep if nthismarr==1 | |
| drop age1861 // just for labelling purposes | |
| rename age1861_plac age1861 | |
| fvset base 16 age1861 | |
| qui probit cOut i.age1861 $controls i.sample01 if sample0=="placebo", cluster(byearclst) | |
| qui margins, dydx(*) predict(pr) post | |
| estimates store PLAC | |
| coefplot (PLAC, label("cohort-level effect (left axis)") ylabel(-0.2(0.1)0.5)) /// | |
| (BASEsynth, label("synthetic prob. of marrying at interruption (right axis)") axis(2) ylabel(5(5)25, axis(2)) offset(-0.05) recast(line) symbol(none)), /// | |
| keep(16.age1861 17.age1861 18.age1861 19.age1861 20.age1861 21.age1861 22.age1861 23.age1861 24.age1861 25.age1861 26.age1861) /// | |
| msymbol(d) mfcolor(white) levels(99 95 90) graphregion(color(white)) /// | |
| title("Placebo", color(black)) xtitle(age in 1861-X) graphregion(color(white)) /// | |
| legend(on rows(2) region(lstyle(none))) /// | |
| xlabel(1 "16" 2 "17" 3 "18" 4 "19" 5 "20" 6 "21" 7 "22" 8 "23" 9 "24" 10 "25" 11 "26") /// | |
| yline(0) ylabel(-0.2(0.1)0.6) lpattern(dash) name(placebo, replace) vert baselevels | |
| * Figure: | |
| grc1leg base placebo, legendfrom(base) graphregion(color(white)) | |
| graph export "${dirresu}\Figure7.pdf", replace | |
| graph drop _all | |
| erase "${dirdata}\placebo-data.dta" | |
| * ============================================================================== | |
| * TABLE 3: | |
| * The Season's interruption and marriage outcomes, IV estimation. | |
| * ------------------------------------------------------------------------------ | |
| * Import data and keep baseline sample | |
| use "${dirdata}\final-data.dta", clear | |
| keep if base_sample==1 | |
| * IV regressions | |
| global controls pr4 biorder hengpee | |
| * [1] | |
| qui summ cOut | |
| local mdepvar = round(`r(mean)',0.01) | |
| qui reg mourn syntheticT $controls, cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui cmp (cOut = mourn $controls) (mourn = syntheticT $controls), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(2) coefastr ctitle("M common") addtext(Weak iv p-val, ., Mean DV, `mdepvar') tex replace | |
| qui cmp (cOut = mourn $controls) (mourn = syntheticT $controls), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex replace | |
| * [2] | |
| qui summ cOut if distlondon!=. | |
| local mdepvar = round(`r(mean)',0.01) | |
| qui reg mourn syntheticT $controls distlondon, cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui cmp (cOut = mourn $controls distlondon) (mourn = syntheticT $controls distlondon), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(2) coefastr ctitle("M common") addtext(Weak iv p-val, ., Mean DV, `mdepvar') tex | |
| qui cmp (cOut = mourn $controls distlondon) (mourn = syntheticT $controls distlondon), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex | |
| * [3] and [4] | |
| foreach x in "" distlondon{ | |
| qui reg mheir syntheticT $controls `x', cluster(byear) | |
| qui summ mheir if e(sample)==1 | |
| local mdepvar = round(`r(mean)',0.01) | |
| qui reg mourn syntheticT $controls `x', cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui cmp (mheir = mourn $controls `x') (mourn = syntheticT $controls `x'), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(2) coefastr ctitle("M heir") addtext(Weak iv p-val, ., Mean DV, `mdepvar') tex | |
| qui cmp (mheir = mourn $controls `x') (mourn = syntheticT $controls `x'), ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex | |
| } | |
| * [5] and [6] | |
| foreach x in "" distlondon{ | |
| qui reg fmissmatch syntheticT $controls `x', cluster(byear) | |
| qui summ fmissmatch if e(sample)==1 | |
| local mdepvar = round(`r(mean)',1) | |
| qui ivregress liml fmissmatch (mourn = syntheticT) $controls `x', cluster(byear) first | |
| qui weakiv, null(0) small | |
| local wivpv = round(e(ar_p), 0.01) | |
| qui reg mourn syntheticT $controls `x' if fmissmatch!=., cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui ivregress liml fmissmatch (mourn = syntheticT) $controls `x', cluster(byear) | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(1) coefastr ctitle("Diff abs") addtext(Weak iv p-val, `wivpv', Mean DV, `mdepvar') tex | |
| qui cmp (fmissmatch = mourn $controls `x') (mourn = syntheticT $controls `x') if fmissmatch!=., ind(1 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex | |
| } | |
| * [7] and [8] | |
| foreach x in "" distlondon{ | |
| qui reg fmissmatch2 syntheticT $controls `x', cluster(byear) | |
| qui summ fmissmatch2 if e(sample)==1 | |
| local mdepvar = round(`r(mean)',1) | |
| qui ivregress liml fmissmatch2 (mourn = syntheticT) $controls `x', cluster(byear) first | |
| qui weakiv, null(0) small | |
| local wivpv = round(e(ar_p), 0.01) | |
| qui reg mourn syntheticT $controls `x' if fmissmatch2!=., cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui ivregress liml fmissmatch2 (mourn = syntheticT) $controls `x', cluster(byear) | |
| qui margins, dydx(*) post | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(1) coefastr ctitle("Diff h-w") addtext(Weak iv p-val, `wivpv', Mean DV, `mdepvar') tex | |
| qui cmp (fmissmatch2 = mourn $controls `x') (mourn = syntheticT $controls `x') if fmissmatch2!=., ind(1 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex | |
| } | |
| * [9] and [10] | |
| foreach x in "" distlondon{ | |
| qui reg fdown syntheticT $controls `x', cluster(byear) | |
| qui summ fdown if e(sample)==1 | |
| local mdepvar = round(`r(mean)',0.01) | |
| qui ivregress liml fdown (mourn = syntheticT) $controls `x', cluster(byear) | |
| qui weakiv, null(0) small | |
| local wivpv = round(e(ar_p), 0.01) | |
| qui reg mourn syntheticT $controls `x' if fdown!=., cluster(byear) | |
| local F1 = round(e(F),0.1) | |
| qui cmp (fdown = mourn $controls `x') (mourn = syntheticT $controls `x') if fdown!=., ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table3_A", keep(mourn) nocons label dec(2) coefastr ctitle("M down") addtext(Weak iv p-val, `wivpv', Mean DV, `mdepvar') tex | |
| qui cmp (fdown = mourn $controls `x') (mourn = syntheticT $controls `x') if fdown!=., ind(4 1) cluster(byear) quietly | |
| qui margins, dydx(*) predict(eq(#2)) post | |
| outreg2 using "${dirresu}\Table3_B", keep(syntheticT) nocons label dec(2) coefastr ctitle("M interr") addtext(F-stat, `F1') tex | |
| } | |
| * ============================================================================== | |
| * TABLE 4: | |
| * Contingency tables. | |
| * ------------------------------------------------------------------------------ | |
| * Import data and keep baseline sample | |
| use "${dirdata}\final-data.dta", clear | |
| keep if base_sample==1 | |
| * Treatment indicator for non-parametric analysis | |
| _pctile syntheticT, nq(100) | |
| gen treatment = (syntheticT > r(r80)) | |
| /* Note: For the non-parametric estimation, I compare a high- vs. a low-treatment | |
| cohort. The high-treatment cohort are women with a synthetic probability to | |
| marry during the interruption above 20 percent. This corresponds to the top | |
| quintile; the 20% of women with the highest synthetic probability to marry in | |
| 1861-63. Conversely, the low-treatment cohort are women below the top quintile. */ | |
| * Contingency tables | |
| label var grank "Wife" | |
| capture log close // save results in log file | |
| cd "${dirresu}" | |
| log using Table4.log, replace | |
| * Panel A: Low-Treatment cohorts (T < 80th percentile) | |
| tab grank grankspo if treatment==0, expected matcell(ofreqa) | |
| * Panel B: High-Treatment cohorts (T >= 80th percentile) | |
| tab grank grankspo if treatment==1, expected matcell(ofreqa) | |
| log close | |
| * ============================================================================== | |
| * TABLE 5: | |
| * The interruption and sorting by title, non-parametric estimates. | |
| * ------------------------------------------------------------------------------ | |
| * Import data and keep baseline sample | |
| use "${dirdata}\final-data.dta", clear | |
| keep if base_sample==1 | |
| * Treatment indicator for non-parametric analysis | |
| _pctile syntheticT, nq(100) | |
| gen treatment = (syntheticT > r(r80)) | |
| * Non-parametric stats | |
| forvalues i=0/1{ | |
| tab grank grankspo if treatment==`i', chi2 lrchi2 | |
| local chi2_`i' = r(chi2) | |
| local chi2LR_`i' = r(chi2_lr) | |
| local chi2p_`i' = r(p) | |
| local chi2LRp_`i' = r(p_lr) | |
| local df_`i' = e(df_r) | |
| local N`i' = r(N) | |
| ktau grank grankspo if treatment==`i', stats(taub) | |
| local taub_`i' = r(tau_b) | |
| local taubp_`i' = r(p) | |
| } | |
| * Add results to matrix tab5 | |
| mat define tab5 = (.,.,.\.,.,.\.,.,.\.,.,.\.,.,.\.,.,.\.,.,.) | |
| forvalues j =0/1{ | |
| local col = `j'+1 | |
| mat tab5[1,`col'] = `chi2_`j'' | |
| mat tab5[2,`col'] = `chi2p_`j'' | |
| mat tab5[3,`col'] = `chi2LR_`j'' | |
| mat tab5[4,`col'] = `chi2LRp_`j'' | |
| mat tab5[5,`col'] = `taub_`j'' | |
| mat tab5[6,`col'] = `taubp_`j'' | |
| mat tab5[7,`col'] = `N`j'' | |
| } | |
| mat tab5[5,3] = `taub_0'-`taub_1' | |
| mat tab5[7,3] = `N0'+`N1' | |
| * Difference chi-squared and LR-chi2 | |
| local chi2_diff = `chi2_0'-`chi2_1' | |
| local chi2_diffp = chi2tail(3,`chi2_diff') | |
| local chi2LR_diff = `chi2LR_0'-`chi2LR_1' | |
| local chi2LR_diffp = chi2tail(3,`chi2LR_diff') | |
| mat tab5[1,3] = `chi2_diff' | |
| mat tab5[2,3] = `chi2_diffp' | |
| mat tab5[3,3] = `chi2LR_diff' | |
| mat tab5[4,3] = `chi2LR_diffp' | |
| * Difference tau-b | |
| qui ktau grank grankspo if treatment==0 | |
| local convtaub_0 = sin(3.141592654*`r(tau_b)'*0.5) | |
| qui ktau grank grankspo if treatment==1 | |
| local convtaub_1 = sin(3.141592654*`r(tau_b)'*0.5) | |
| cortesti `convtaub_0' `N0' `convtaub_1' `N1' | |
| mat tab5[6,3] = 0.1637 | |
| * Table 5 | |
| mat colnames tab5 = "Low-treat" "High-treat" "Diff" | |
| mat rownames tab5 = "Pearson chi-squared" " p-val" "Likelihood ratio" " p-val" "Kendall rank correlation" " p-val" "N" | |
| mat list tab5 | |
| esttab matrix(tab5, fmt(3 3)) using "${dirresu}\Table5.tex", mlabel("Table 5") replace | |
| * ============================================================================== | |
| * FIGURE 8: | |
| * Sorting by landholdings, non-parametric estimation. | |
| * ------------------------------------------------------------------------------ | |
| * Import data and keep baseline sample | |
| use "${dirdata}\final-data.dta", clear | |
| keep if base_sample==1 | |
| * Treatment indicator for non-parametric analysis | |
| _pctile syntheticT, nq(100) | |
| gen treatment = (syntheticT > r(r80)) | |
| count if fmissmatch!=. // sample (N=324) | |
| count if fmissmatch!=. & treatment==0 // Low-treatment (N=256) | |
| count if fmissmatch!=. & treatment==0 & age1861<22 // Low-treatment, younger (N=64) | |
| count if fmissmatch!=. & treatment==0 & age1861>22 // Low-treatment, older (N=192) | |
| * Kolmogorov-Smirnov tests | |
| gen treat2`x' = treatment // for High vs. younger comparison | |
| replace treat2 = . if treatment==0 & age1861>22 | |
| gen treat3 = treatment // for High vs. older comparison | |
| replace treat3 = . if treatment==0 & age1861<22 | |
| foreach x in "" 2{ | |
| sort fmissmatch`x' age1861 | |
| qui ksmirnov fmissmatch`x', by(treatment) exact | |
| local KS1`x' = round(`r(D)',0.01) | |
| local pval1`x' = round(`r(p_exact)',0.001) | |
| ksmirnov fmissmatch`x', by(treat2) exact | |
| local KS2`x' = round(`r(D)',0.01) | |
| local pval2`x' = round(`r(p_exact)',0.001) | |
| ksmirnov fmissmatch`x', by(treat3) exact | |
| local KS3`x' = round(`r(D)',0.01) | |
| local pval3`x' = round(`r(p_exact)',0.001) | |
| } | |
| * Figure, Panel A | |
| preserve | |
| sort fmissmatch age1861 | |
| cumul fmissmatch if treatment>0, gen(cumTREAT) | |
| cumul fmissmatch if treatment==0, gen(cumCONTROL) | |
| cumul fmissmatch if treatment==0 & age1861>22, gen(cumCONTROLold) | |
| cumul fmissmatch if treatment==0 & age1861<22, gen(cumCONTROLyoung) | |
| twoway (line cumTREAT fmissmatch, c(J) lwidth(thick) lcolor(red)) /// | |
| (line cumCONTROL fmissmatch, c(J) lwidth(thin) lcolor(blue)) /// | |
| (line cumCONTROLold fmissmatch, c(J) lwidth(thin) lpattern(dash) lcolor(emidblue)) /// | |
| (line cumCONTROLyoung fmissmatch, c(J) lwidth(thin) lpattern(solid) lcolor(emidblue)), /// | |
| xtitle("|wife's percentile rank of acres - husband's percentile rank of acres|", size(med)) /// | |
| ytitle("cumulative", size(med)) /// | |
| legend(on order(1 "High-Treatment (T{&ge}80p)" 2 "Low-Treatment (T<80p)" 3 "older" 4 "younger") rows(4) ring(0) position(5) bmargin(large) region(lstyle(none))) /// | |
| graphregion(color(white)) /// | |
| note("High vs low: KS = `KS1' (`pval1'); High vs younger: KS = `KS2' (`pval2'); High vs older: KS = `KS3' (`pval3')") | |
| graph export "${dirresu}\Figure8_A.pdf", as(pdf) replace | |
| restore | |
| * Figure, Panel B | |
| preserve | |
| sort fmissmatch2 age1861 | |
| cumul fmissmatch2 if treatment>0, gen(cumTREAT) | |
| cumul fmissmatch2 if treatment==0, gen(cumCONTROL) | |
| cumul fmissmatch2 if treatment==0 & age1861>22, gen(cumCONTROLold) | |
| cumul fmissmatch2 if treatment==0 & age1861<22, gen(cumCONTROLyoung) | |
| twoway (line cumTREAT fmissmatch2, c(J) lwidth(thick) lcolor(red)) /// | |
| (line cumCONTROL fmissmatch2, c(J) lwidth(thin) lcolor(blue)) /// | |
| (line cumCONTROLold fmissmatch2, c(J) lwidth(thin) lpattern(dash) lcolor(emidblue)) /// | |
| (line cumCONTROLyoung fmissmatch2, c(J) lwidth(thin) lpattern(solid) lcolor(emidblue)) /// | |
| (pcarrowi 0.95 -40 0.95 -60 "Marrying down", color(black)), /// | |
| xtitle("difference in acres' precentile rank (husband-wife)", size(med)) /// | |
| xline(0, lcolor(black) lwidth(thick)) ytitle("cumulative", size(med)) /// | |
| legend(on order(1 "High-Treat (T{&ge}80p.)" 2 "Low-Treat (T<80p.)" 3 "older" 4 "younger") rows(4) ring(0) position(5) bmargin(large) region(lstyle(none))) /// | |
| graphregion(color(white)) /// | |
| note("High vs low: KS = `KS12' (`pval12'); High vs younger: KS = `KS22' (`pval22'); High vs older: KS = `KS32' (`pval32')") | |
| graph export "${dirresu}\Figure8_B.pdf", as(pdf) replace | |
| restore | |
| * ============================================================================== | |
| * TABLE 6: | |
| * Women's marriages to commoners and her family's political power, IV estimation. | |
| * ------------------------------------------------------------------------------ | |
| * Import data | |
| use "${dirdata}/final-data-sec4.dta", clear | |
| * Control variables: | |
| gen nsib2 = nsib^2 // Number of siblings squared | |
| global controlsb distlondon i.prank nsib nsib2 // controls for regressions with brothers | |
| global controlsh distlondon i.prank // controls for regressions with family heads | |
| global hechter propman100 logincome propcon propnonc relig // county controls from Hechter | |
| * Collapse data such that a woman (and her family) is the unit of observation | |
| encode fbio1, gen(nfam) // clusters at the family level | |
| collapse cOut syntheticT byear nfam d_MPb_aft d_MPf_bef MPb_years_aft MPf_years_bef d_MPb_locaft2 d_MPf_local2 MPb_years_locaft MPf_years_locbef d_MPh_aft d_MPh_bef MPh_years_aft MPh_years_bef /// | |
| biorder distlondon prank nsib nsib2 $hechter, by(refno) | |
| label var cOut "W married a commoner" | |
| * Col [1]: Any brother is MP after woman's marriage | |
| global polit d_MPb_aft | |
| global polbefore d_MPf_bef | |
| * CLR p-values | |
| qui ivprobit $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first twostep | |
| weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsb $polbefore) (cOut = syntheticT biorder $hechter $controlsb $polbefore), ind(4 1) quietly cluster(byear) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(2) noas noobs /// | |
| ctitle("MP (b)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex replace | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex replace | |
| * Col [2]: Years MP after woman's marriage (brothers) | |
| global polit MPb_years_aft | |
| global polbefore MPf_years_bef | |
| * CLR p-values | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsb $polbefore) (cOut = syntheticT biorder $hechter $controlsb $polbefore), ind(1 1) quietly cluster(byear) | |
| qui margins, dydx(*) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(2) noas noobs /// | |
| ctitle("Years (b)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex | |
| * Col [3]: Any brother is local MP after woman's marriage | |
| global polit d_MPb_locaft2 | |
| global polbefore d_MPf_local2 | |
| * CLR p-values | |
| qui ivprobit $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first twostep | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsb $polbefore) (cOut = syntheticT biorder $hechter $controlsb $polbefore), ind(4 1) quietly cluster(byear) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(2) noas noobs /// | |
| ctitle("local MP (b)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex | |
| * Col [4]: Years local MP after woman's marriage (brothers) | |
| global polit MPb_years_locaft | |
| global polbefore MPf_years_locbef | |
| * CLR p-values | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsb $polbefore, vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsb $polbefore) (cOut = syntheticT biorder $hechter $controlsb $polbefore), ind(1 1) quietly cluster(byear) | |
| qui margins, dydx(*) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(3) noas noobs /// | |
| ctitle("lyears (b)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex | |
| * Col [5]: Family head is MP after woman's marriage | |
| global polit d_MPh_aft | |
| global polbefore d_MPh_bef | |
| * CLR p-values | |
| qui ivprobit $polit (cOut = syntheticT biorder) $hechter $controlsh $polbefore, first twostep | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsh $polbefore, vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsh $polbefore) (cOut = syntheticT biorder $hechter $controlsh $polbefore), ind(4 1) quietly cluster(byear) | |
| qui margins, dydx(*) predict(pr) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(2) noas noobs /// | |
| ctitle("MP (h)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsh $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex | |
| * Col [6]: Years MP after woman's marriage (family head) | |
| global polit MPh_years_aft | |
| global polbefore MPh_years_bef | |
| * CLR p-values | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsh $polbefore, first // | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml $polit (cOut = syntheticT biorder) $hechter $controlsh $polbefore, vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| summ $polit if e(sample)==1 | |
| local mdepvar = round(r(mean),0.01) | |
| * Second stage coefficients | |
| qui cmp ($polit = cOut $hechter $controlsb $polbefore) (cOut = syntheticT biorder $hechter $controlsb $polbefore), ind(1 1) quietly cluster(byear) | |
| qui margins, dydx(*) post | |
| outreg2 using "${dirresu}\Table6_A", keep(cOut) nocons label nose dec(2) noas noobs /// | |
| ctitle("Years (h)") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Mean DP, `mdepvar', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsh $polbefore | |
| local F1 = round(e(F),0.1) | |
| outreg2 using "${dirresu}\Table6_B", keep(syntheticT) nocons label noas nor2 dec(3) coefastr ctitle("M common") addtext(F-stat, `F1') tex | |
| * ============================================================================== | |
| * TABLE 7: | |
| * Determinants of investments in state education, IV estimation. | |
| * ------------------------------------------------------------------------------ | |
| * Import data | |
| use "${dirdata}/final-data-sec4.dta", clear | |
| * Control variables: | |
| gen nsib2 = nsib^2 // Number of siblings squared | |
| global controlsrf distlondon i.prank // controls for reduced-form effect | |
| global controlsb distlondon i.prank nsib nsib2 // controls for regressions with brothers | |
| global controlsh distlondon i.prank // controls for regressions with family heads | |
| global hechter propman100 logincome propcon propnonc relig // county controls from Hechter | |
| encode fbio1, gen(nfam) // clusters at the family level | |
| label var cOut "W married a commoner" | |
| /* Note: Panel B results for p-values (parenthesis) and CLR p-values | |
| adjusted for weak instruments [brackets] are in one column in the paper, | |
| in two columns in the table produced by this code. */ | |
| * Col [1]: Reduced-form effect | |
| * CLR p-values | |
| qui ivregress liml rateperpou (cOut = syntheticT biorder) $hechter $controlsrf , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou (cOut = syntheticT biorder) $hechter $controlsrf , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou (cOut = syntheticT biorder) $hechter $controlsrf , first | |
| outreg2 using "${dirresu}\Table7_A", keep(cOut) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex replace | |
| * First stage coefs in Panel B | |
| qui reg cOut syntheticT biorder $hechter $controlsrf | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpound (cOut = syntheticT biorder) $hechter $controlsrf , first savefirst | |
| est restore _ivreg2_cOut | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) replace tex ctitle("M common") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpound (cOut = syntheticT biorder) $hechter $controlsrf , first cluster(nfam) savefirst | |
| est restore _ivreg2_cOut | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("M common") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [2]: Any brother is MP after marriage | |
| global polit d_MPb_aft | |
| global polbefore d_MPf_bef | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first savefirst | |
| est restore _ivreg2_d_MPb_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_d_MPb_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [3]: Years brother is MP after marriage | |
| global polit MPb_years_aft | |
| global polbefore MPf_years_bef | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first savefirst | |
| est restore _ivreg2_MPb_years_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("Years MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_MPb_years_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("Years MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [4]: Any brother is local MP after marriage | |
| global polit d_MPb_locaft | |
| global polbefore d_MPf_local | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first savefirst | |
| est restore _ivreg2_d_MPb_locaft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("local MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_d_MPb_locaft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("local MP (b)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [5]: Years brother is local MP after marriage | |
| global polit MPb_years_locaft | |
| global polbefore MPf_years_locbef | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsb $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first savefirst | |
| est restore _ivreg2_MPb_years_locaft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("local years (b)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsb $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_MPb_years_locaft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("local years (b)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [6]: Family head is local MP after marriage | |
| global polit d_MPh_aft | |
| global polbefore d_MPh_bef | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsh $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first savefirst | |
| est restore _ivreg2_d_MPh_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("MP (h)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_d_MPh_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("MP (h)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |
| * Col [7]: Years family head is local MP after marriage | |
| global polit MPh_years_aft | |
| global polbefore MPh_years_bef | |
| * CLR p-values | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first | |
| qui weakiv, null(0) small | |
| local CLR1 = round(e(clr_p), 0.001) | |
| * CLR p-values clustered by family | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first vce(cluster nfam) | |
| local Nbobs = `e(N)' // just so that N appears after CLR p-values in table | |
| qui weakiv, null(0) small | |
| local CLR2 = round(e(clr_p), 0.001) | |
| * Second-stage coefficients | |
| qui ivregress liml rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first | |
| outreg2 using "${dirresu}\Table7_A", keep($polit) stats(coef) nocons label noobs dec(2) noas /// | |
| ctitle("tax rate") addtext(CLR-pval, `CLR1', CLR-pval 2, `CLR2', Nb observations, `Nbobs') tex | |
| * First stage coefs in Panel B | |
| qui reg $polit syntheticT biorder $hechter $controlsh $polbefore | |
| local F1 = round(e(F),0.01) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first savefirst | |
| est restore _ivreg2_MPh_years_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("Years MP (h)") label dec(3) noaster nocons nor2 stats(coef pval) addtext(F-stat, `F1', cluster, .) | |
| qui ivreg2 rateperpou ($polit = syntheticT biorder) $hechter $controlsh $polbefore , first cluster(nfam) savefirst | |
| est restore _ivreg2_MPh_years_aft | |
| outreg2 using "${dirresu}\Table7_B", keep(syntheticT) tex ctitle("Years MP (h)") label dec(3) noaster nocons nor2 stats(coef pval) bracket addtext(F-stat, `F1', cluster, family) | |