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set mem 500m
set more off
set logtype text
set matsize 3000
cap log close
log using "$Log/Table7.log", replace
use "$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 tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
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)
cap drop pct_cosponsors_opposite
gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1)
replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>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)
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"
gen tenured=sponsor_tenure>=5 if sponsor_tenure!=.
foreach depvar of varlist numb_cosponsors {
forvalues l = 0/1 {
forvalues j = 1/5 {
forvalues k = 1/3 {
qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', 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'' & tenured==`l', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)
}
else if `j'==2 {
di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', 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 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & 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'' & tenured==`l', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', 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'' & tenured==`l', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', 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
} // closes j loop
} // closes k loop
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/Table7_`depvar'_T`l'", firstrow(var) replace
restore
} // closes l loop
}
log close
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