clear set mem 500m set more off set logtype text set matsize 3000 cap log close log using "$Log/Table6.log", replace use "$AnalysisData/bills_analysis_101-111_replication.dta" keep if private==0 bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. replace sponsor_age=. if sponsor_age>100 gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. gen lnpden=lnpop-lnarea gen absMV=abs(MV1_democrat) egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) rename numb_cosponsors_tenure_59 numb_cosponsors_ten_59 rename numb_cosponsors_tenure_10plus numb_cosponsors_ten_10p egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) cap drop pct_cosponsors_fem gen pct_cosponsors_fem=100*numb_cosponsors_fem/(numb_cosponsors+1) replace pct_cosponsors_fem=. if pct_cosponsors_fem>100 cap drop pct_cosponsors_leader gen pct_cosponsors_leader=100*numb_cosponsors_leader/(numb_cosponsors+1) replace pct_cosponsors_leader=. if pct_cosponsors_leader>100 gen numb_cosponsors_ten_5p=numb_cosponsors_ten_59+numb_cosponsors_ten_10p gen pct_cosponsors_ten_5p=100*numb_cosponsors_ten_5p/(numb_cosponsors+1) replace pct_cosponsors_ten_5p=. if pct_cosponsors_ten_5p>100 compress egen tag_bill = tag(v2 HRnumber) gen int decade = 1980 if v2<=102 replace decade=1990 if v2>=103 & v2<=107 replace decade=2000 if v2>=108 egen district_id = group(decade sponsor_state_abbrev sponsor_district) gen maj_house=0 replace maj_house=1 if v2==101 & sponsor_party==100 replace maj_house=1 if v2==102 & sponsor_party==100 replace maj_house=1 if v2==103 & sponsor_party==100 replace maj_house=1 if v2==104 & sponsor_party==200 replace maj_house=1 if v2==105 & sponsor_party==200 replace maj_house=1 if v2==106 & sponsor_party==200 replace maj_house=1 if v2==107 & sponsor_party==200 replace maj_house=1 if v2==108 & sponsor_party==200 replace maj_house=1 if v2==109 & sponsor_party==200 replace maj_house=1 if v2==110 & sponsor_party==100 replace maj_house=1 if v2==111 & sponsor_party==100 replace maj_house=1 if v2==112 & sponsor_party==200 replace maj_house=1 if v2==113 & sponsor_party==200 local controls1 = "i.v2 " local controls2 = "i.v2 MV1_female femaleXMV1_female " local controls3 = "i.v2 MV1_female femaleXMV1_female " local controls4 = "i.v2 " local controls5 = "i.v2 " local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" local billchars = "i.minor house_*" local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" local if1 = "if tag_bill==1" local if2 = "if sponsor_party==100 & tag_bill==1" local if3 = "if sponsor_party==200 & tag_bill==1" foreach var of varlist var_cosp_dwnom1_spons m_betweenness_w_spons { replace `var'=`var'*1000 } foreach depvar of varlist pct_cosponsors_fem pct_cosponsors_leader pct_cosponsors_ten_5p m_betweenness_w_spons var_cosp_dwnom1_spons { forvalues j=1/5 { forvalues k = 1/3 { qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1, robust cluster(group_sponsor) qui gen sample=e(sample) di "" di "" di "j = ", `j', "k = ", `k' di "" di "" di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) local band = e(h_CCT) if `j'==1 { di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) } else if `j'==2 { di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) } else if `j'==3 { qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' predict pscore if sample==1 gen wt = 1/pscore if sponsor_female==1 replace wt =1/(1-pscore) if sponsor_female==0 di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) drop pscore wt } else if `j'==4 { qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 predict pscore gen wt = 1/pscore if sponsor_female==1 replace wt =1/(1-pscore) if sponsor_female==0 di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) drop pscore wt } else if `j'==5 { qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 predict pscore gen wt = 1/pscore if sponsor_female==1 replace wt =1/(1-pscore) if sponsor_female==0 di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) drop pscore wt } if `j'~=2 & `j'~=3 { scalar b_col`j'_row`k' = _b[sponsor_female] scalar se_col`j'_row`k' = _se[sponsor_female] scalar n_col`j'_row`k' = e(N) sum tag_congressmen if tag_congressmen==1 & e(sample) scalar ni_col`j'_row`k' = e(N_clust) scalar ob_col`j'_row`k' = . } else if `j'==2 | `j'==3 { scalar b_col`j'_row`k' = _b[sponsor_female] scalar se_col`j'_row`k' = _se[sponsor_female] scalar n_col`j'_row`k' = e(N) sum tag_congressmen if tag_congressmen==1 & e(sample) scalar ni_col`j'_row`k' = e(N_clust) scalar ob_col`j'_row`k' = round(`band') } drop sample } } preserve * Display results forvalues i = 1/5 { gen var`i' =. } gen str20 var6 = "" forvalues j=1/5 { forvalues k = 1/3 { replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 } } keep var1-var6 keep if _n<=18 order var6 var1-var5 ren var6 sampletype ren var1 OLS_all ren var2 RD_bwidth ren var3 RD_match_bw ren var4 PS_match ren var5 PS_match_indiv foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 } replace sampletype = "All" if _n>=1 & _n<=5 replace sampletype = "Democrats" if _n>=7 & _n<=11 replace sampletype = "Republicans" if _n>=13 & _n<=17 order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars export excel using "$Output/Table6_`depvar'", firstrow(var) replace restore } log close