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109/replication_package/Do Files/CJLR_GreenBooks_QJE_Rep.do

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+********************************************************************************
+*----------------------  REPLICATION CODE: PRELIM INFO ------------------------*
+********************************************************************************
+
+/*
+Purpose: 
+This do file replicates the empirical analysis in: 
+Cook, Jones, Logan, Rosé (2022)
+"The Evolution of Access to Public Accommodations in the United States"
+
+Packages:
+ssc (grstyle lvr2plot2 palettes colrspace parmest ivreg2 ranktest)
+
+Replicates all tables and figures except:
+Fig 1
+Fig 8
+Tab 1
+*/
+
+notes: Last updated Aug 1, 2022
+
+********************************************************************************
+*-------------------------  STANDARD PRELIM CODE ------------------------------*
+********************************************************************************
+
+clear all
+set more off
+capture log close
+set matsize 10000
+
+// Nicer quality graphs -> need to install LMRoman10-Regular font package, or comment out
+graph set window fontface "LMRoman10-Regular"
+graph set window fontfacemono "LMRoman10-Regular"
+graph set window fontfacesans "LMRoman10-Regular"
+graph set window fontfaceserif "LMRoman10-Regular"
+graph set window fontfacesymbol "LMRoman10-Regular"
+
+// Need the grstyle package for this graph command to work, or comment out
+grstyle init
+grstyle set mesh, horizontal compact minor
+grstyle set legend 6, nobox stack
+grstyle linewidth plineplot 0.7
+grstyle set color hue, n(4)
+
+********************************************************************************
+*------------------------- SET WORKING DIRECTORIES ----------------------------*
+********************************************************************************
+
+
+// SET FOLDER FILE PATH HERE:
+
+global wd "/Users/maggiejones/Dropbox/Research/Green Books/Green Books/Do Files/QJE Empirics/QJE Replication Package/"
+//global wd "C:/Users/darose/Dropbox/Research/Discrimination/Do Files/QJE Empirics/QJE Replication Package"
+
+global qjedata "$wd/Data Files/"
+global tables "$wd/Output/Tables/"
+global figures "$wd/Output/Figures/"
+
+
+********************************************************************************
+
+********************************************************************************
+********************************************************************************
+*************************** SECTION 1: MAIN PAPER ******************************
+********************************************************************************
+********************************************************************************
+
+
+********************************************************************************
+*--------------		FIG 2: Green Books vs. CoB and WBBD			---------------*
+********************************************************************************
+
+capture graph drop *
+
+***
+// gb vs. wbbd
+use "$qjedata/state_gb_wbbd.dta", clear
+
+#delimit ;
+twoway (scatter  num_est_hotel formal_wb, sort mlabel(state_abv) 
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))  
+		(line  num_est_hotel num_est_hotel2, sort lcolor(black) lwidth(medthin) lpattern(dash)), 
+		xtitle("Number in Wisconsin Black Business Directory", margin(medium)) 
+		ytitle("Number in Green Books")
+		legend(off) text(36 41 "45-degree line", place(e) size(.3cm)) 
+		xlabel(0(20)60, grid) ylabel(0(20)60, grid) name(formal_WBD);
+graph export "$figures/formalGB_vs_blackWBD_45deg_novacay.pdf", replace ;		 
+#delimit cr
+
+***
+// gb vs. cob
+use "$qjedata/state_gb_cob.dta", clear
+
+#delimit ;
+twoway (scatter num_est_hotel  hotels_BlackCOB , sort mlabel(state_abv) 	
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))
+		(line  num_est_hotel num_est_hotel2, sort lcolor(black) lwidth(medthin) lpattern(dash)), 
+		xtitle("Number of Black-Owned in Census of Business", margin(medium)) ytitle(Number in Green Book)
+		legend(off) text(36 41 "45-degree line", place(e) size(.3cm)) 
+		xlabel(0(20)70, grid) ylabel(0(20)70, grid) name(formal_COB);
+graph export "$figures/formalGB_vs_blackCOB_45deg_novacay.pdf", replace;
+#delimit cr
+
+graph combine formal_WBD formal_COB, ycommon xcommon
+
+graph export "$figures/formalGB_vs_othersources.pdf", replace 	
+
+graph drop formal_WBD formal_COB
+ 
+********************************************************************************
+*------------		FIG 3: Geographic coverage & GB listings		-----------*
+********************************************************************************
+
+capture graph drop *
+
+***
+use "$qjedata/county_gb_main.dta", clear
+
+sort ICPSRST ICPSRCTY year
+
+gen new_growth = gb_tot if gb_tot[_n-1]==0 & county_code[_n] == county_code[_n-1] // n est in counties that already have at least one gb est
+gen existing_growth = gb_tot if gb_tot[_n-1]!=0 & county_code[_n] == county_code[_n-1] // n est in counties that don't have any gb est
+
+count if year == 1940 
+scalar nobs = r(N)
+
+collapse (sum) gb_tot gb_est new_growth existing_growth, by(year)
+
+
+// Panel (a) Share with at least 1 Greeb Book establishment
+gen sh_w_gb = gb_est/nobs
+gen no_gb_est = (gb_est == 0)
+gen sh_wout_gb= no_gb_est/nobs 
+
+tsset year
+tsfill
+
+
+#delimit 
+twoway (line sh_w_gb year if sh_w_gb > 0, sort lcolor(black) lpattern(solid) lwidth(medium) cmissing(n))
+	(line sh_w_gb year if sh_w_gb > 0, sort lcolor(black) lpattern(dot) lwidth(medium) cmissing(y))
+	(scatter sh_w_gb year if sh_w_gb > 0, sort mcolor(black) msymbol(triangle) msize(medium)),
+	ylabel(0.10(0.02)0.18,grid) xtitle("Year") ytitle("Share of Counties (0 to 1)")
+	legend(off);
+graph export "$figures/share_counties_w_gb_novacay.pdf", replace ;
+#delimit cr
+
+***
+//Panel (b): Growth in new counties (i.e. those without an existing GB) vs. existing counties (i.e. those with at least 1 GB)
+#delimit ;
+twoway (line gb_tot year, sort lcolor(black) lpattern(solid) lwidth(medium) cmissing(n))
+		(line gb_tot year, sort lcolor(black) lpattern(dot) lwidth(medium) cmissing(y))
+		(scatter gb_tot year, sort mcolor(black) msymbol(triangle) msize(medium))
+
+		(line new_growth year, sort lcolor(black) lpattern(dash) lwidth(medium) cmissing(n))
+		(line new_growth year, sort lcolor(black) lpattern(dot) lwidth(medium) cmissing(y))
+		(scatter new_growth year, sort mcolor(black) msymbol(circle) msize(medium))	
+		
+		(line existing_growth year, sort lcolor(black) lpattern(longdash) lwidth(thick) cmissing(n))
+		(line existing_growth year, sort lcolor(black) lpattern(dot) lwidth(medium) cmissing(y))
+		(scatter existing_growth year, sort mcolor(black) msymbol(X) msize(large))	,
+		ylabel(,grid) xtitle("Year") ytitle("Number of Establishments")
+		legend(label(3 "Total No. of Establishments") label(6 "No. Est. in New Counties") 
+		label(9 "N. Est. in Existing Counties") order(3 6 9) rows(1)) ;
+graph export "$figures/num_est_by_existing_GB_novacay.pdf", replace ;
+#delimit cr
+
+
+********************************************************************************
+*--------------		FIG 4: Green Books vs. Seg/Anti-Seg laws	---------------*
+********************************************************************************
+
+capture graph drop *
+
+use "$qjedata/state_gb_paulimurray.dta", replace
+
+qui reg gb_tot pop_b_1950
+	predict double resid_gb, residuals
+ 
+qui reg numdisc pop_b_1950
+	predict double resid_disc, residuals
+ 	
+qui reg numantidisc pop_b_1950
+	predict double resid_antidisc, residuals
+
+#delimit ;
+//  Discrimination Laws
+twoway (scatter resid_gb resid_disc if year == 1950, sort mlabel(state_abv)  
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))  
+		(lfit resid_gb resid_disc if year == 1950 , sort lcolor(black) lwidth(medthin)),  
+		xtitle("Residualized Number of Discrimination Laws", margin(medium)) ytitle("Residualized Number of Green Book Estabs.") 
+		legend(off) name(disc) ;
+graph export "$figures/pauli_murray_residual_gb_vs_disc_novacay.pdf", replace ;
+  
+// Anti-Discrimination Laws
+twoway (scatter resid_gb resid_antidisc if year == 1950, sort mlabel(state_abv)   
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))  
+		(lfit resid_gb resid_antidisc if year == 1950 , sort lcolor(black) lwidth(medthin)),  
+		xtitle("Residualized Number of Anti-Discrimination Laws", margin(medium)) ytitle("Residualized Number of Green Book Estabs.")  
+		name(antidisc) legend(off) ;
+graph export "$figures/pauli_murray_residual_gb_vs_antidisc_novacay.pdf", replace ;
+#delimit cr
+
+graph combine disc antidisc, scheme(s1color)	ycommon xcommon
+
+graph export "$figures/pauli_murray_residuals_novacay.pdf", replace 
+
+********************************************************************************
+*--------------		FIG 5: Green Books by Industry/Region		---------------*
+********************************************************************************
+
+// by industry
+use "$qjedata/national_gb_ind_year.dta", clear
+
+#delimit ;
+twoway (line gb_tot year if ind_stub== "barber" , sort lcolor(black) lpattern(solid) lwidth(medium) yaxis(1) cmissing(n))
+		(line gb_tot year if ind_stub== "barber",  sort lcolor(black) lpattern(dash_dot) lwidth(medium) yaxis(1))
+		(scatter gb_tot year if ind_stub== "barber" , sort mcolor(black) msymbol(O)  yaxis(1))
+	
+		(line gb_tot year if ind_stub== "eating" , sort lcolor(black) lpattern(solid) lwidth(medium) yaxis(1) cmissing(n))
+		(line gb_tot year if ind_stub== "eating" , sort lcolor(black) lpattern(dash_dot) lwidth(medium) yaxis(1)) 
+		(scatter gb_tot year if ind_stub== "eating" , sort mcolor(black) msymbol(triangle)  yaxis(1))
+		
+		(line gb_tot year if ind_stub== "formal" , sort lcolor(black) lpattern(solid) lwidth(medium) yaxis(1) cmissing(n)) 
+		(line gb_tot year if ind_stub== "formal" , sort lcolor(black) lpattern(dash_dot) lwidth(medium) yaxis(1)) 
+		(scatter gb_tot year if ind_stub== "formal" , sort mcolor(black) msymbol(diamond)  yaxis(1))
+		
+		(line gb_tot year if ind_stub== "gasoline" , sort lcolor(black) lpattern(solid) lwidth(medium) yaxis(1) cmissing(n)) 
+		(line gb_tot year if ind_stub== "gasoline" , sort lcolor(black) lpattern(dash_dot) lwidth(medium) yaxis(1)) 
+		(scatter gb_tot year if ind_stub== "gasoline" , sort mcolor(black) msize(*2) msymbol(+)  yaxis(1)) 
+
+		(line gb_tot year if ind_stub== "informal" , sort lcolor(black) lpattern(solid) lwidth(medium) yaxis(1) cmissing(n))
+		(line gb_tot year if ind_stub== "informal" , sort lcolor(black) lpattern(dash_dot) lwidth(medium) yaxis(1)) 
+		(scatter gb_tot year if ind_stub== "informal" , sort mcolor(black) msize(*2) msymbol(X)  yaxis(1)) , 	
+		  ylabel(,grid) ytitle("Number of Establishments") xtitle("Year") 	  
+		   legend(order(3 "Barber & Beauty" 6 "Eating & Drinking" 9 "Hotels & Motels" 
+		   12 "Gas Stations"  15 "Informal Accomod." ) rows(2)) xsize(6) ysize(3) ;
+graph export "$figures/count_all_est_over_time_usa_allindustries_novacay.pdf", replace ;
+#delimit cr
+
+// by region
+use "$qjedata/national_gb_region_year.dta", clear
+
+ #delimit ;
+twoway (line gb_tot year if region_dataset == "Midwest-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot year if region_dataset == "Midwest-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot year if region_dataset == "Midwest-Main", sort cmissing(n) mcolor(black) msymbol(circle) msize(med))
+	
+	(line gb_tot year if region_dataset == "Northeast-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot year if region_dataset == "Northeast-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot year if region_dataset == "Northeast-Main", sort cmissing(n) mcolor(black) msymbol(diamond) msize(med))
+	
+	(line gb_tot year if region_dataset == "South-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot year if region_dataset == "South-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot year if region_dataset == "South-Main", sort cmissing(n) mcolor(black) msymbol(X) msize(large))
+	
+	(line gb_tot year if region_dataset == "West-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot year if region_dataset == "West-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot year if region_dataset == "West-Main", sort cmissing(n) mcolor(black) msymbol(triangle) msize(med)),
+	legend(label(3 "Midwest") label(6 "Northeast") label(9 "South") label(12 "West") order(3 6 9 12) rows(1))
+	ytitle("Number of Establishments") xtitle("Year", margin(medium))  xsize(6) ysize(3);
+	
+graph export "$figures/count_all_est_over_time_usa_byregion_novacay.pdf", replace ;
+#delimit cr
+ 
+
+// by region pc
+use "$qjedata/national_gb_region_year.dta", clear
+
+ #delimit ;
+twoway (line gb_tot_PC year if region_dataset == "Midwest-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot_PC year if region_dataset == "Midwest-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot_PC year if region_dataset == "Midwest-Main", sort cmissing(n) mcolor(black) msymbol(circle) msize(med))
+	
+	(line gb_tot_PC year if region_dataset == "Northeast-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot_PC year if region_dataset == "Northeast-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot_PC year if region_dataset == "Northeast-Main", sort cmissing(n) mcolor(black) msymbol(diamond) msize(med))
+	
+	(line gb_tot_PC year if region_dataset == "South-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot_PC year if region_dataset == "South-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot_PC year if region_dataset == "South-Main", sort cmissing(n) mcolor(black) msymbol(X) msize(large))
+	
+	(line gb_tot_PC year if region_dataset == "West-Main", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line gb_tot_PC year if region_dataset == "West-Main", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter gb_tot_PC year if region_dataset == "West-Main", sort cmissing(n) mcolor(black) msymbol(triangle) msize(med)),
+	legend(label(3 "Midwest") label(6 "Northeast") label(9 "South") label(12 "West") order(3 6 9 12) rows(1))
+	ytitle("# Est. Per 1,000 Black Pop") xtitle("Year", margin(medium))  xsize(6) ysize(3);
+	
+graph export "$figures/gbpc_all_est_over_time_usa_byregion_novacay.pdf", replace ;
+#delimit cr
+ 
+ 
+********************************************************************************
+*--------------			FIG 6: Share Est by Region				---------------*
+********************************************************************************
+ capture graph drop *
+
+ use "$qjedata/national_gb_region_year.dta", clear
+ 
+ // Panel (a) - Formal Accommodations
+ #delimit ;
+twoway (line shareGBhotel year if region_dataset == "Midwest-Hotels", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBhotel year if region_dataset == "Midwest-Hotels", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBhotel year if region_dataset == "Midwest-Hotels", sort cmissing(n) mcolor(black) msymbol(circle) msize(med))
+	
+	(line shareGBhotel year if region_dataset == "Northeast-Hotels", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBhotel year if region_dataset == "Northeast-Hotels", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBhotel year if region_dataset == "Northeast-Hotels", sort cmissing(n) mcolor(black) msymbol(diamond) msize(med))
+	
+	(line shareGBhotel year if region_dataset == "South-Hotels", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBhotel year if region_dataset == "South-Hotels", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBhotel year if region_dataset == "South-Hotels", sort cmissing(n) mcolor(black) msymbol(X) msize(large))
+	
+	(line shareGBhotel year if region_dataset == "West-Hotels", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBhotel year if region_dataset == "West-Hotels", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBhotel year if region_dataset == "West-Hotels", sort cmissing(n) mcolor(black) msymbol(triangle) msize(med)),
+	legend(label(3 "Midwest") label(6 "Northeast") label(9 "South") label(12 "West") order(3 6 9 12) rows(1))
+	ytitle("Share of Formal Accommodations") xtitle("Year", margin(medium)) name(hotelshr)  xsize(6) ysize(3);
+#delimit cr
+
+graph export "$figures/share_hotel_byregion_novacay.pdf", replace
+
+
+ // Panel (b) - Eating and Drinking Places
+ #delimit ;
+twoway (line shareGBeat year if region_dataset == "Midwest-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBeat year if region_dataset == "Midwest-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBeat year if region_dataset == "Midwest-Retail", sort cmissing(n) mcolor(black) msymbol(circle) msize(med))
+	
+	(line shareGBeat year if region_dataset == "Northeast-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBeat year if region_dataset == "Northeast-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBeat year if region_dataset == "Northeast-Retail", sort cmissing(n) mcolor(black) msymbol(diamond) msize(med))
+	
+	(line shareGBeat year if region_dataset == "South-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBeat year if region_dataset == "South-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBeat year if region_dataset == "South-Retail", sort cmissing(n) mcolor(black) msymbol(X) msize(large))
+	
+	(line shareGBeat year if region_dataset == "West-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBeat year if region_dataset == "West-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBeat year if region_dataset == "West-Retail", sort cmissing(n) mcolor(black) msymbol(triangle) msize(med)),
+	legend(label(3 "Midwest") label(6 "Northeast") label(9 "South") label(12 "West") order(3 6 9 12) rows(1))
+	ytitle("Share of Eating/Drinking") xtitle("Year", margin(medium)) name(eatingshr) xsize(6) ysize(3) ;
+#delimit cr
+
+graph export "$figures/share_eating_byregion_novacay.pdf", replace
+
+ // Panel (c) - Gas stations
+ #delimit ;
+twoway (line shareGBgas year if region_dataset == "Midwest-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBgas year if region_dataset == "Midwest-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBgas year if region_dataset == "Midwest-Retail", sort cmissing(n) mcolor(black) msymbol(circle) msize(med))
+	
+	(line shareGBgas year if region_dataset == "Northeast-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBgas year if region_dataset == "Northeast-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBgas year if region_dataset == "Northeast-Retail", sort cmissing(n) mcolor(black) msymbol(diamond) msize(med))
+	
+	(line shareGBgas year if region_dataset == "South-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBgas year if region_dataset == "South-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBgas year if region_dataset == "South-Retail", sort cmissing(n) mcolor(black) msymbol(X) msize(large))
+	
+	(line shareGBgas year if region_dataset == "West-Retail", sort cmissing(n) lpattern(solid) lcolor(black) lwidth(thin))
+	(line shareGBgas year if region_dataset == "West-Retail", sort cmissing(y) lpattern(dash) lcolor(black) lwidth(thin))
+	(scatter shareGBgas year if region_dataset == "West-Retail", sort cmissing(n) mcolor(black) msymbol(triangle) msize(med)),
+	legend(label(3 "Midwest") label(6 "Northeast") label(9 "South") label(12 "West") order(3 6 9 12) rows(1))
+	ytitle("Share of Gas Stations") xtitle("Year", margin(medium)) name(gasshr)  xsize(6) ysize(3);
+#delimit cr
+
+graph export "$figures/share_gas_byregion_novacay.pdf", replace
+
+
+********************************************************************************
+*--------------			FIG 7: Correlates of GB Per Cap			---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_correlates_1940.dta", clear
+
+keep if dataset == "Main"
+
+local varstostd gbpc fracblack postal_b mig_bw_state_b mig_wi_state_b confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940 pop_b_1940  
+
+foreach i of local varstostd {
+	egen std_`i' =  std(`i'), mean(0) std(1)
+}
+
+tempfile t1
+
+parmby "reg std_gbpc std_pop_b_1940, r", lab saving(`"`t1'"',replace) idn(1) ids(total) level(95)
+
+local varlist fracblack postal_b mig_bw_state_b mig_wi_state_b confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940  
+
+local j = 1
+foreach v of local varlist {
+	local j = `j' + 1
+	tempfile t`j'
+	parmby "reg std_gbpc std_`v' std_pop_b_1940, r", lab saving(`"`t`j''"',replace) idn(`j') ids(total) level(95)
+}
+
+drop _all
+
+forvalues i=1(1)24 {
+	append using `"`t`i''"' 
+}
+
+drop if parm == "_cons"
+drop if parm == "std_pop_b_1940" & idn != 1
+
+gen ordervar = .
+
+// baseline corr bw black pop and gbpc 
+replace ordervar = 31 if parm == "std_fracblack"
+replace ordervar = 30 if parm == "std_pop_b_1940"
+
+// mail and migration
+replace ordervar = 28 if parm == "std_postal_b"
+replace ordervar = 27 if parm == "std_mig_bw_state_b"
+replace ordervar = 26 if parm == "std_mig_wi_state_b"
+
+// other discriminatory indices
+replace ordervar = 24 if parm == "std_confed_symbol_N"
+replace ordervar = 23 if parm == "std_lynch_black"
+replace ordervar = 22 if parm == "std_naacp_chptrs1941"
+
+// other segregation
+replace ordervar = 20 if parm == "std_dissimilarity_po"
+replace ordervar = 19 if parm == "std_isolation_po"
+replace ordervar = 18 if parm == "std_alpha_po"
+
+// education (black and white)
+replace ordervar = 16 if parm == "std_none_b"
+replace ordervar = 15 if parm == "std_none_w"
+
+// hotel owners and restaurant owners
+replace ordervar = 13 if parm == "std_hotel_own_w"
+replace ordervar = 12 if parm == "std_hotel_own_b"
+replace ordervar = 11 if parm == "std_eating_own_w"
+replace ordervar = 10 if parm == "std_eating_own_b"
+
+// affluence
+replace ordervar = 8 if parm == "std_lforce_w"
+replace ordervar = 7 if parm == "std_incwage_w"
+replace ordervar = 6 if parm == "std_own_w_1940"
+replace ordervar = 5 if parm == "std_lforce_b"
+replace ordervar = 4 if parm == "std_incwage_b"
+replace ordervar = 3 if parm == "std_own_b_1940"
+
+// manufacturing
+replace ordervar = 1 if parm == "std_man_estab_1940"
+
+
+#delimit ;   
+label define coefnames 
+					   31 `"Share Black"'
+					   30 `"Black Population"' 
+					   29 `" "' 
+					   28 `"# Black Postal Workers"' 
+					   27 `"% Black Migrants Between States"' 
+					   26 `"% Black Migrants Within States"' 
+					   25 `" "' 
+					   24 `"# Confederate Symbols"' 
+					   23 `"# Black Lynchings"' 
+					   22 `"# NAACP Chapters (1941)"' 
+					   21 `" "' 
+					   20 `"Dissimilarity Index"' 
+					   19 `"Isolation Index"' 
+					   18 `"Logan-Parman Index"' 
+					   17 `" "' 
+					   16 `"% Black With No Education"' 
+					   15 `"% White With No Education"' 
+					   14 `" "'
+					   13 `"# White Hotel Owners"'
+					   12 `"# White Restaurant Owners"'
+					   11 `"# Black Hotel Owners"'
+					   10 `"# Black Restaurant Owners"'
+					    9 `" "'
+					    8 `"% White in Labor Force"'
+					    7 `"White Wage/Salary Income"'
+					    6 `"% White Homeowners"'					   
+					    5 `"% Black in Labor Force"'					   
+					    4 `"Black Wage/Salary Income"'
+					    3 `"% Black Homeowners"'
+					    2 `" "'
+					    1 `"Manufacturing Establishments"'
+					    0 `" "'			
+;
+#delimit cr
+
+label values ordervar coefnames
+
+gen altmin95 = min95 
+gen altmax95 = max95 
+	
+#delimit ;
+twoway (scatter ordervar estimate, sort msymbol(square) mcolor(black) msize(small))
+		(rcap altmin95 altmax95 ordervar, sort lcolor(black) horizontal),
+		graphregion(color(white)) xline(0) 
+		legend(off)
+		xlabel(-.2(.1).2)
+		ylabel(1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31,valuelabel labsize(vsmall) angle(0) grid)
+		ytitle("") xtitle("Estimate", margin(medium) size(small))
+		yline(0, lcolor(gs8) lpattern(dash))
+		yline(2, lcolor(gs8) lpattern(dash))
+		yline(9, lcolor(gs8) lpattern(dash))
+		yline(14, lcolor(gs8) lpattern(dash))
+		yline(17, lcolor(gs8) lpattern(dash))
+		yline(21, lcolor(gs8) lpattern(dash))
+		yline(25, lcolor(gs8) lpattern(dash))
+		yline(29, lcolor(gs8) lpattern(dash))
+		yline(32, lcolor(gs8) lpattern(dash))
+		xsize(8) ysize(8);
+#delimit cr
+
+graph export "$figures/gbpc_correlates_Main.pdf", replace
+
+********************************************************************************
+*--------------					FIG 9: Event Study				---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_main.dta", clear
+
+tempfile t1 
+
+areg a_gb_tot taumin3_a_killed_w taumin2_a_killed_w taupos1_a_killed_w taupos2_a_killed_w taupos3_a_killed_w taupos4_a_killed_w taupos5_a_killed_w taupos6_a_killed_w taupos7_a_killed_w taupos8_a_killed_w taupos9_a_killed_w i.year , absorb(county_code) cluster(county_code)
+parmest, label list(parm label estimate min* max* p)  saving(`"`t1'"', replace)
+
+ use `t1', clear
+
+gen year = 1939 if parm == "taumin3_a_killed_w"
+	replace year = 1940 if parm == "taumin2_a_killed_w"
+	replace year = 1947 if parm == "taupos1_a_killed_w"
+	replace year = 1948 if parm == "taupos2_a_killed_w"
+	replace year = 1949 if parm == "taupos3_a_killed_w"
+	replace year = 1950 if parm == "taupos4_a_killed_w"
+	replace year = 1951 if parm == "taupos5_a_killed_w"
+	replace year = 1952 if parm == "taupos6_a_killed_w"
+	replace year = 1953 if parm == "taupos7_a_killed_w"
+	replace year = 1954 if parm == "taupos8_a_killed_w"
+	replace year = 1955 if parm == "taupos9_a_killed_w"
+	
+keep if year != .
+
+set obs 12
+	replace year = 1941 in 12
+	replace estimate = 0 in 12
+
+#delimit ;
+twoway (scatter estimate year, sort mcolor(black) msymbol(square) msize(small))
+		(rcap min95 max95 year, sort lcolor(black)),
+		yline(0) xline(1941) xline(1942 1943 1944 1945 1946, lwidth(9) lc(gs12)) 
+		legend(off) ytitle("Estimate") xtitle("Year");
+	
+graph export "$figures/a_killed_white_event_gbtot.pdf", replace ;
+#delimit cr
+
+********************************************************************************
+*--------------				FIG 10: Trim Casualties				---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_main.dta", clear
+
+// Not reported in paper, also robust to using qreg at median
+areg a_killed_w_after i.year, absorb(county_code)
+	predict a_killed_w_after_resid, resid
+areg a_gb_tot i.year, absorb(county_code)
+	predict a_gbtot_resid, resid
+qreg a_gbtot_resid a_killed_w_after_resid, q(50)
+
+xtile ww2dec = a_killed_w if year == 1940, nq(100)
+	bysort county_code: egen a_killed_w_decile = max(ww2dec)
+
+forvalues i = 0(1)48 {
+	tempfile t`i'
+}
+
+parmby "areg a_gb_tot a_killed_w_after i.year, absorb(county_code) cluster(county_code)", lab saving(`"`t0'"',replace) idn(0) ids(A) level(95)
+
+forvalues i = 1(1)48 {
+	local j = 101-`i'
+	parmby "areg a_gb_tot a_killed_w_after i.year if a_killed_w_decile > `i' & a_killed_w_decile < `j', absorb(county_code) cluster(county_code)", lab saving(`"`t`i''"',replace) idn(`i') ids(A) level(95)
+}
+
+use `t0', clear
+forvalues i=1(1)48 {
+	append using `"`t`i''"' 
+}
+
+keep if parm == "a_killed_w_after"
+
+#delimit ;
+twoway (scatter estimate idnum if idnum == 0, sort mcolor(red) msymbol(square))
+	(rcap min95 max95 idnum if idnum == 0, sort lcolor(red))
+	(scatter estimate idnum if idnum > 0 & idnum <= 25, sort mcolor(black) msymbol(square)) 
+	(rcap min95 max95 idnum if idnum > 0 & idnum <= 25, sort lcolor(black)), 
+	yline(0) ytitle("Estimate") 
+	xtitle("Excluded Top and Bottom Percentiles", margin(medium)) legend(off) ;
+	
+graph export "$figures/a_killed_w__gbtot_by_excluded_ptiles.pdf", replace ;
+#delimit cr
+
+
+********************************************************************************
+*--------------			TAB 2: Baseline Descriptives			---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_main.dta", clear
+	
+global gbs gb_tot num_est_other num_est_informal num_est_hotel num_est_gas num_est_eating num_est_barber
+global sumstats killed_b enlist_b pop_b_1940 killed_w enlist_w pop_w_1940 shr_farmland postal_b mig_bw_state_b mig_wi_state_b confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po none_b educ_lo_1940_b educ_hs_1940_b none_w educ_lo_1940_w educ_hs_1940_w lforce_b incwage_b own_b_1940 lforce_w incwage_w own_w_1940
+
+estpost sum $gbs $sumstats if gb_est == 1 & year ==1940, det
+est store A
+
+estpost sum $gbs $sumstats if gb_est == 0 & year ==1940, det
+est store B
+	
+#delimit ;	
+esttab A B using "$tables/sumstat_noGBvsGB.tex",  replace  cells("mean(fmt(%9.2g)) sd(fmt(%9.2g))")label 
+	substitute(% \%)
+    fragment nonumber noobs 
+	stats(N , fmt(%9.0fc) label("Observations")) star(* .1 ** .05 *** .01)
+	keep(
+	gb_tot num_est_other num_est_informal num_est_hotel num_est_gas num_est_eating num_est_barber
+	killed_b enlist_b pop_b_1940 killed_w enlist_w pop_w_1940
+	shr_farmland postal_b mig_bw_state_b mig_wi_state_b
+	confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po
+	none_b educ_lo_1940_b educ_hs_1940_b none_w educ_lo_1940_w educ_hs_1940_w
+	lforce_b incwage_b own_b_1940 lforce_w incwage_w own_w_1940
+	)
+	order(
+	gb_tot num_est_informal num_est_hotel num_est_gas num_est_eating num_est_barber num_est_other
+	killed_b enlist_b pop_b_1940 killed_w enlist_w pop_w_1940
+	shr_farmland postal_b mig_bw_state_b mig_wi_state_b
+	confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po
+	none_b educ_lo_1940_b educ_hs_1940_b none_w educ_lo_1940_w educ_hs_1940_w
+	lforce_b incwage_b own_b_1940 lforce_w incwage_w own_w_1940
+	) 
+	mtitle("Listed" "Never Listed")
+	refcat(gb_tot "\midrule \textbf{\emph{Green Book Listings}}" 	
+	killed_b "\midrule \textbf{\emph{World War II}}"
+	none_b "\midrule \textbf{\emph{Education, Employment, and Income}}"
+	confed_symbol_N "\midrule \textbf{\emph{Residential Segregation \& Discrimination}}" 
+	shr_farmland "\midrule \textbf{\emph{Other Demographics}}", nolabel) ;
+#delimit cr
+	
+estimates clear			
+	
+
+********************************************************************************
+*--------------				TAB 3: Diff in Diff Results			---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_main.dta", clear
+
+#delimit ;
+global countycontrols 
+
+shr_farmland
+
+pop_b_1940
+pop_w_1940
+
+postal_b
+mig_bw_state_b
+mig_wi_state_b
+
+confed_symbol_N
+lynch_black
+naacp_chptrs1941
+
+dissimilarity_po
+isolation_po
+alpha_po
+
+none_b
+educ_lo_1940_b
+educ_hs_1940_b
+none_w
+educ_lo_1940_w
+educ_hs_1940_w
+
+hotel_own_w
+hotel_own_b
+eating_own_w
+eating_own_b
+
+lforce_w
+lforce_b
+incwage_w
+incwage_b
+own_w_1940
+own_b_1940
+
+man_estab_1940
+man_worker_1940
+man_wages_1940
+man_output_1940
+man_vadd_1940
+
+warsup_com_1940 
+warsup_oth_1940 
+warfac_ind_1940 
+warfac_mil_1940 
+war_total_1940;
+
+#delimit cr
+
+#delimit ;
+global countycontrolsmissing 
+
+shr_farmland_miss
+
+pop_b_1940_miss
+pop_w_1940_miss
+
+mig_bw_state_b_miss
+mig_wi_state_b_miss
+
+confed_symbol_N_miss
+lynch_black_miss
+
+dissimilarity_po_miss
+isolation_po_miss
+alpha_po_miss
+
+none_b_miss
+educ_lo_1940_b_miss
+educ_hs_1940_b_miss
+none_w_miss
+educ_lo_1940_w_miss
+educ_hs_1940_w_miss
+
+own_w_1940_miss
+own_b_1940_miss
+
+man_estab_1940_miss
+man_worker_1940_miss
+man_wages_1940_miss
+man_output_1940_miss
+man_vadd_1940_miss 
+
+war_total_1940_miss 
+warsup_com_1940_miss 
+warsup_oth_1940_miss 
+warfac_ind_1940_miss 
+warfac_mil_1940_miss;
+#delimit cr
+	
+foreach a of global countycontrols {
+	gen asinh_`a' = asinh(`a')
+	}
+
+foreach a of global countycontrols {
+	gen postint_`a' = asinh_`a'*after
+}
+
+foreach a of global countycontrolsmissing {
+	gen mis_`a' = `a'*after
+}
+
+gen misscontrols = 0
+	foreach a of global countycontrolsmissing {
+		replace misscontrols = 1 if `a' == 1
+	}
+
+// PANEL A: FULL SAMPLE
+estimates clear
+*col 1  reg: diff in diff no fe
+qui: eststo: xi: reg a_gb_tot a_killed_w a_killed_w_after after , cluster(county_code)
+*col 2  reg: state FE
+qui: eststo: xi: reg a_gb_tot a_killed_w a_killed_w_after after i.stateid , cluster(county_code)
+*col 3 reg: county controls, year FE
+qui: eststo: xi: reg a_gb_tot a_killed_w a_killed_w_after postint_* mis_* asinh_* $countycontrolsmissing i.year i.stateid  , cluster(county_code)
+*col 4:   reg: county FE, year FE
+qui: eststo: xi: areg a_gb_tot a_killed_w_after i.year  , absorb(county_code) cluster(county_code)
+*col 5:   reg: stateXyear FE, county FE
+qui: eststo: xi: areg a_gb_tot a_killed_w_after i.stateid*i.year   , absorb(county_code) cluster(county_code)
+*col 6 reg: county-level linear time trends, county FE, year FE
+// qui: eststo: xi: areg a_gb_tot a_killed_w_after i.year c.year##i.county_code , absorb(county_code) cluster(county_code)
+	
+#delimit ;
+esttab using  "$tables/a_killed_white_did_gbtot.tex", replace label title("Effects of White Casualties on Number of Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)    
+	scalar("N_clust \# clusters") nomtitles keep(a_killed_w_after) 
+	varlabel(a_killed_w_after	"Asinh(\# White Deaths) $\times$ Post-WW2") ;
+estimates clear ;
+#delimit cr
+
+// PANEL B: BY INDUSTRY
+estimates clear
+*col 1  reg:  Barber\beauty parlors: year FE and county FE
+eststo barber: areg a_num_est_barber a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+*col 2  reg:  Eating and drinking: year FE and county FE
+eststo eating: areg a_num_est_eating a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+*col 3  reg:  Service stations: year FE and county FE
+eststo gas: areg a_num_est_gas a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+*col 4  reg:  Formal accommodations: year FE and county FE
+eststo hotel: areg a_num_est_hotel a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+*col 5  reg:  Informal accommodations: year FE and county FE
+eststo informal: areg a_num_est_informal a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+*col 6  reg:  Other establishments: year FE and county FE
+eststo other: areg a_num_est_other a_killed_w_after i.year , absorb(county_code) cluster(county_code)
+
+#delimit ;
+esttab using "$tables/a_killed_white_did_by_industry.tex", replace label title("Effects of White Casualties on Number of Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)  scalar(N_clust)
+	addnotes("Standard errors clustered by county in parentheses.
+	Casualties are measured in units of 100. 
+	All columns include county and year fixed effects.")  
+	mtitles keep(a_killed_w_after)
+	varlabel(a_killed_w_after
+	"Treatment") ;	
+estimates clear ;
+#delimit cr
+
+// PANEL C: SHARES
+use "$qjedata/county_gb_hotels_panel.dta", clear
+
+eststo: areg a_shareGBhotel_i2 a_killed_w_after i.year, absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBhotel_i2 a_killed_w_after i.stateid*i.year, absorb(county_code) cluster(county_code)
+
+use "$qjedata/county_gb_retail_panel.dta", clear
+
+eststo: areg a_shareGBeat_i2 a_killed_w_after i.year, absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBeat_i2 a_killed_w_after i.stateid*i.year, absorb(county_code) cluster(county_code)
+
+eststo: areg a_shareGBgas_i2 a_killed_w_after i.year, absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBgas_i2 a_killed_w_after i.stateid*i.year, absorb(county_code) cluster(county_code)
+
+#delimit ;
+esttab using "$tables/a_killed_white_did_shares.tex", replace label title("Effects of White Casualties on Share of GB Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)  scalar(N_clust)
+	addnotes("Standard errors clustered by county in parentheses.
+	Casualties are measured in units of 100. 
+	All columns include county and year fixed effects.")  
+	mtitles keep(a_killed_w_after)
+	varlabel(a_killed_w_after
+	"Treatment") ;
+estimates clear ;
+#delimit cr
+
+
+********************************************************************************
+*--------------					TAB 4: IV Results				---------------*
+********************************************************************************
+
+estimates clear
+
+use "$qjedata/county_gb_hotels.dta", clear
+
+gen d_gbhotel4050 = (gbhotel1950 - gbhotel1940)/numCOBhotel1940
+gen d_blackshr4050 = (pop_b_1950-pop_b_1940)/pop1940
+
+foreach v in d_gbhotel4050 d_blackshr4050 killed_w bartikshock4050 {
+	gen a_`v' = asinh(`v')
+}
+
+// HOTELS
+
+***
+
+// ols
+eststo main_ols_hotel_wwii: reg a_d_gbhotel4050 a_d_blackshr4050 i.stateid if num_hotel_CoBab1935 != .,  first
+eststo main_ols_hotel_bartik: reg a_d_gbhotel4050 a_d_blackshr4050 i.stateid if num_hotel_CoBab1935 != .  & us_region != "South", first
+
+// iv
+eststo main_iv_hotel_wwii: ivreg2 a_d_gbhotel4050 (a_d_blackshr4050 = a_killed_w) i.stateid if num_hotel_CoBab1935 != .,  first
+eststo main_iv_hotel_bartik: ivreg2 a_d_gbhotel4050 (a_d_blackshr4050 = a_bartikshock4050) i.stateid if num_hotel_CoBab1935 != .  & us_region != "South", first
+
+// reduced form 
+eststo rf_ols_hotel_wwii: reg a_d_gbhotel4050 a_killed_w i.stateid if num_hotel_CoBab1935 != .,  first
+eststo rf_ols_hotel_bartik: reg a_d_gbhotel4050 a_bartikshock4050 i.stateid if num_hotel_CoBab1935 != .  & us_region != "South",  first
+
+// first stage
+eststo fs_ols_hotel_wwii: reg a_d_blackshr4050 a_killed_w i.stateid if num_hotel_CoBab1935 != . & a_d_gbhotel4050 != ., first
+eststo fs_ols_hotel_bartik: reg a_d_blackshr4050 a_bartikshock4050 i.stateid if num_hotel_CoBab1935 != .  & us_region != "South" & a_d_gbhotel4050 != ., first
+
+***
+
+use "$qjedata/county_gb_retail.dta", clear
+
+gen d_gbeat4050 = (gbeat1950 - gbeat1940)/numCOBeat1940
+gen d_gbgas4050 = (gbgas1950 - gbgas1940)/numCOBgas1940
+gen d_blackshr4050 = (pop_b_1950-pop_b_1940)/pop1940
+
+foreach v in d_gbeat4050 d_gbgas4050 d_blackshr4050 killed_w bartikshock4050 {
+	gen a_`v' = asinh(`v')
+}
+
+***
+
+// EATING AND DRINKING
+
+//ols
+eststo main_ols_eat_wwii: reg a_d_gbeat4050 a_d_blackshr4050 i.stateid if num_eat_CoB1935 != .,  first
+eststo main_ols_eat_bartik: reg a_d_gbeat4050 a_d_blackshr4050  i.stateid if num_eat_CoB1935 != .  & us_region != "South",  first
+
+// iv
+eststo main_iv_eat_wwii: ivreg2 a_d_gbeat4050 (a_d_blackshr4050 = a_killed_w) i.stateid if num_eat_CoB1935 != .,   first
+eststo main_iv_eat_bartik: ivreg2 a_d_gbeat4050 (a_d_blackshr4050 = a_bartikshock4050) i.stateid if num_eat_CoB1935 != .  & us_region != "South",  first
+
+// reduced form 
+eststo rf_ols_eat_wwii: reg a_d_gbeat4050 a_killed_w i.stateid if num_eat_CoB1935 != ., first
+eststo rf_ols_eat_bartik: reg a_d_gbeat4050 a_bartikshock4050 i.stateid if num_eat_CoB1935 != .  & us_region != "South", first
+
+// first stage
+eststo fs_ols_eat_wwii: reg a_d_blackshr4050 a_killed_w i.stateid if num_eat_CoB1935 != . & a_d_gbeat4050 != .,  first
+eststo fs_ols_eat_bartik: reg a_d_blackshr4050 a_bartikshock4050 i.stateid if num_eat_CoB1935 != .  & us_region != "South" & a_d_gbeat4050 != ., first
+
+***
+
+// GAS STATIONS
+
+// ols
+eststo main_ols_gas_wwii: reg a_d_gbgas4050 a_d_blackshr4050  i.stateid if num_gas_CoB1935 != .,  first
+eststo main_ols_gas_bartik: reg a_d_gbgas4050 a_d_blackshr4050  i.stateid if num_gas_CoB1935 != .  & us_region != "South",  first
+
+// iv
+eststo main_iv_gas_wwii: ivreg2 a_d_gbgas4050 (a_d_blackshr4050 = a_killed_w) i.stateid if num_gas_CoB1935 != .,  first
+eststo main_iv_gas_bartik: ivreg2 a_d_gbgas4050 (a_d_blackshr4050 = a_bartikshock4050) i.stateid if num_gas_CoB1935 != .  & us_region != "South", first
+
+// reduced form
+eststo rf_ols_gas_wwii: reg a_d_gbgas4050 a_killed_w i.stateid if num_gas_CoB1935 != ., first
+eststo rf_ols_gas_bartik: reg a_d_gbgas4050 a_bartikshock4050 i.stateid if num_gas_CoB1935 != .  & us_region != "South",  first
+
+// first stage
+eststo fs_ols_gas_wwii: reg a_d_blackshr4050 a_killed_w i.stateid if num_gas_CoB1935 != . & a_d_gbgas4050 != .,first
+eststo fs_ols_gas_bartik: reg a_d_blackshr4050 a_bartikshock4050 i.stateid if num_gas_CoB1935 != .  & us_region != "South" & a_d_gbgas4050 != ., first
+
+***
+
+// MAIN IV TABLE
+
+#delimit ;
+	esttab main_ols_hotel_wwii main_ols_eat_wwii main_ols_gas_wwii main_ols_hotel_bartik main_ols_eat_bartik main_ols_gas_bartik using "$tables/iv_statefe_full.tex", replace label title("OLS results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses clustered by state.") 
+		keep(a_d_blackshr*);
+
+	esttab fs_ols_hotel_wwii fs_ols_eat_wwii fs_ols_gas_wwii fs_ols_hotel_bartik fs_ols_eat_bartik fs_ols_gas_bartik using "$tables/iv_statefe_full.tex", append label title("First Stage results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses clustered by state.") 
+		keep(a_killed_w a_bartikshock4050);
+
+	esttab rf_ols_hotel_wwii rf_ols_eat_wwii rf_ols_gas_wwii rf_ols_hotel_bartik rf_ols_eat_bartik rf_ols_gas_bartik using "$tables/iv_statefe_full.tex", append label title("Reduced Form results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses clustered by state.") 
+		keep(a_killed_w a_bartikshock4050);
+
+	esttab main_iv_hotel_wwii main_iv_eat_wwii main_iv_gas_wwii main_iv_hotel_bartik main_iv_eat_bartik main_iv_gas_bartik using "$tables/iv_statefe_full.tex", append label title("IV results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses clustered by state.") 
+		keep(a_d_blackshr*);
+#delimit cr
+
+
+********************************************************************************
+
+
+
+
+********************************************************************************
+********************************************************************************
+**************************** SECTION 2: APPENDIX *******************************
+********************************************************************************
+********************************************************************************
+
+
+********************************************************************************
+*--------------			FIG 1: Frequency by Industry			---------------*
+********************************************************************************
+
+use "$qjedata/national_gb_freq_ind.dta", clear
+
+#delimit ;	
+graph hbar (sum) num_est, over(industry, sort(ordervar)) ytitle("") 
+	intensity(*0.5) 
+	bar(1, color(midblue))
+	bar(2, color(midblue))
+	bar(3, color(midblue))
+	bar(4, color(midblue))
+	bar(5, color(midblue));
+#delimit cr
+
+graph export "$figures/freq_by_type_novacay.pdf", replace 
+
+
+********************************************************************************
+*--------------		FIG 2: Green Books vs. WBBD (City-level)	---------------*
+********************************************************************************
+
+capture graph drop *
+
+***
+// gb vs. wbbd
+use "$qjedata/city_gb_wbbd.dta", clear
+
+#delimit ;
+twoway (scatter  num_gb formal_wb [aweight = invweightsize], sort 
+		mcolor(black%20) mlcolor(black%100) msize(small))  
+		(scatter  num_gb formal_wb, sort 
+		mcolor(black) msize(tiny))
+		(line  num_gb num_gb2, sort lcolor(black) lwidth(medthin) lpattern(dash)), 
+		xtitle("Number in Wisconsin Black Business Directory", margin(medium)) ytitle("Number in Green Books")
+		 legend(off) text(28 32 "45-degree line", place(e) size(.3cm)) ;
+		 
+graph export "$figures/formalGB_vs_blackWBD_45deg_novacay_citylevel_weighted.pdf", replace ;		 		 
+#delimit cr
+
+
+********************************************************************************
+*----------- FIG 3: Green Books vs. Seg/Anti-Seg laws (no outliers) -----------*
+********************************************************************************
+
+capture graph drop *
+
+use "$qjedata/state_gb_paulimurray.dta", clear
+
+qui reg gb_tot pop_b_1950
+	predict double resid_gb, residuals
+ 
+qui reg numdisc pop_b_1950
+	predict double resid_disc, residuals
+ 	
+qui reg numantidisc pop_b_1950
+	predict double resid_antidisc, residuals
+
+// Use  leverage versus squared residual plot to identify outliers
+qui reg resid_gb resid_disc   
+ //	lvr2plot, mlabel(state_abv)
+qui reg resid_gb resid_antidisc
+ //	lvr2plot, mlabel(state_abv)		
+
+#delimit ;
+// APPENDIX: Discrimination Laws excl HighLev (NY, VA, OK)
+twoway (scatter resid_gb resid_disc if year == 1950 & !inlist(state_abv, "NY", "VA", "OK"), sort mlabel(state_abv) 
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))  
+		(lfit resid_gb resid_disc if year == 1950 & !inlist(state_abv, "NY", "VA", "OK"), sort lcolor(black) lwidth(medthin)),  
+		xtitle("Residualized Number of Discrimination Laws", margin(medium)) ytitle("Residualized Number of Green Book Estabs.")  
+		name(discnoOut) legend(off) ;
+
+ graph export "$figures/pauli_murray_residual_gb_vs_disc_noOutlier_novacay.pdf", replace ;
+
+// APPENDIX: Anti-Discrimination Laws excl HighLev (NY, IL, NJ)
+twoway (scatter resid_gb resid_antidisc if year == 1950 & !inlist(state_abv, "NY" , "IL", "NJ"), sort mlabel(state_abv)  
+		mlabcolor(black) mcolor(black%50) mlcolor(black%50) msize(tiny))  
+		(lfit resid_gb resid_antidisc if year == 1950 & !inlist(state_abv, "NY", "IL", "NJ"), sort lcolor(black) lwidth(medthin)),  
+		xtitle("Residualized Number of Anti-Discrimination Laws", margin(medium)) ytitle("Residualized Number of Green Book Estabs.")  
+		name(antidiscnoOut)  legend(off)  ;
+		
+ graph export "$figures/pauli_murray_residual_gb_vs_antidisc_noOutlier_novacay.pdf", replace ;
+#delimit cr
+
+graph combine discnoOut antidiscnoOut, scheme(s1color)	ycommon xcommon
+
+graph export "$figures/pauli_murray_residuals_noOutlier_novacay.pdf", replace 
+
+********************************************************************************
+*--------------	FIG 4: Correlates of Est Shares for Hotels		---------------*
+********************************************************************************
+
+use  "$qjedata/county_gb_correlates_1940.dta", clear
+
+keep if dataset == "Hotels" // Only counties in CoB - accounts for counties jointly reported
+
+local varstostd  fracblack postal_b mig_bw_state_b mig_wi_state_b confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940  shareGBhotel  pop_b_1940  
+
+
+foreach i of local varstostd {
+	egen std_`i' =  std(`i'), mean(0) std(1)
+}
+
+tempfile t1
+
+parmby "reg std_shareGBhotel std_pop_b_1940, r", lab saving(`"`t1'"',replace) idn(1) ids(total) level(95)
+
+local varlist fracblack postal_b mig_bw_state mig_wi_state confed_symbol lynch_black naacp_chptrs1941 dissimilarity isolation alpha none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940   
+
+local j = 1
+foreach v of local varlist {
+	local j = `j' + 1
+	tempfile t`j'
+	parmby "reg std_shareGBhotel std_`v' std_pop_b_1940, r", lab saving(`"`t`j''"',replace) idn(`j') ids(total) level(95)
+}
+
+drop _all
+
+forvalues i=1(1)24 {
+	append using `"`t`i''"' 
+}
+
+drop if parm == "_cons"
+drop if parm == "std_pop_b_1940" & idn != 1
+
+gen ordervar = .
+
+// baseline corr bw black pop and gbpc 
+replace ordervar = 31 if parm == "std_fracblack"
+replace ordervar = 30 if parm == "std_pop_b_1940"
+
+// mail and migration
+replace ordervar = 28 if parm == "std_postal_b"
+replace ordervar = 27 if parm == "std_mig_bw_state_b"
+replace ordervar = 26 if parm == "std_mig_wi_state_b"
+
+// other discriminatory indices
+replace ordervar = 24 if parm == "std_confed_symbol_N"
+replace ordervar = 23 if parm == "std_lynch_black"
+replace ordervar = 22 if parm == "std_naacp_chptrs1941"
+
+// other segregation
+replace ordervar = 20 if parm == "std_dissimilarity_po"
+replace ordervar = 19 if parm == "std_isolation_po"
+replace ordervar = 18 if parm == "std_alpha_po"
+
+// education (black and white)
+replace ordervar = 16 if parm == "std_none_b"
+replace ordervar = 15 if parm == "std_none_w"
+
+// hotel owners and restaurant owners
+replace ordervar = 13 if parm == "std_hotel_own_w"
+replace ordervar = 12 if parm == "std_hotel_own_b"
+replace ordervar = 11 if parm == "std_eating_own_w"
+replace ordervar = 10 if parm == "std_eating_own_b"
+
+// affluence
+replace ordervar = 8 if parm == "std_lforce_w"
+replace ordervar = 7 if parm == "std_incwage_w"
+replace ordervar = 6 if parm == "std_own_w_1940"
+replace ordervar = 5 if parm == "std_lforce_b"
+replace ordervar = 4 if parm == "std_incwage_b"
+replace ordervar = 3 if parm == "std_own_b_1940"
+
+// manufacturing
+replace ordervar = 1 if parm == "std_man_estab_1940"
+
+
+#delimit ;   
+label define coefnames 
+					   31 `"Share Black"'
+					   30 `"Black Population"' 
+					   29 `" "' 
+					   28 `"# Black Postal Workers"' 
+					   27 `"% Black Migrants Between States"' 
+					   26 `"% Black Migrants Within States"' 
+					   25 `" "' 
+					   24 `"# Confederate Symbols"' 
+					   23 `"# Black Lynchings"' 
+					   22 `"# NAACP Chapters (1941)"' 
+					   21 `" "' 
+					   20 `"Dissimilarity Index"' 
+					   19 `"Isolation Index"' 
+					   18 `"Logan-Parman Index"' 
+					   17 `" "' 
+					   16 `"% Black With No Education"' 
+					   15 `"% White With No Education"' 
+					   14 `" "'
+					   13 `"# White Hotel Owners"'
+					   12 `"# White Restaurant Owners"'
+					   11 `"# Black Hotel Owners"'
+					   10 `"# Black Restaurant Owners"'
+					    9 `" "'
+					    8 `"% White in Labor Force"'
+					    7 `"White Wage/Salary Income"'
+					    6 `"% White Homeowners"'					   
+					    5 `"% Black in Labor Force"'					   
+					    4 `"Black Wage/Salary Income"'
+					    3 `"% Black Homeowners"'
+					    2 `" "'
+					    1 `"Manufacturing Establishments"'
+					    0 `" "'			
+;
+#delimit cr
+
+label values ordervar coefnames
+
+gen altmin95 = min95 
+gen altmax95 = max95 
+	
+#delimit ;
+twoway (scatter ordervar estimate, sort msymbol(square) mcolor(black) msize(small))
+		(rcap altmin95 altmax95 ordervar, sort lcolor(black) horizontal),
+		graphregion(color(white)) xline(0) 
+		legend(off)
+		ylabel(1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31,valuelabel labsize(vsmall) angle(0) grid)
+		ytitle("") xtitle("Estimate", margin(medium) size(small))
+		yline(0, lcolor(gs8) lpattern(dash))
+		yline(2, lcolor(gs8) lpattern(dash))
+		yline(9, lcolor(gs8) lpattern(dash))
+		yline(14, lcolor(gs8) lpattern(dash))
+		yline(17, lcolor(gs8) lpattern(dash))
+		yline(21, lcolor(gs8) lpattern(dash))
+		yline(25, lcolor(gs8) lpattern(dash))
+		yline(29, lcolor(gs8) lpattern(dash))
+		yline(32, lcolor(gs8) lpattern(dash))
+		xsize(8) ysize(8);
+#delimit cr
+
+graph export "$figures/shareGBhotel_correlates_Hotels.pdf", replace
+
+********************************************************************************
+*--------------	FIG 5-6: Correlates of Est Shares for Retail	---------------*
+********************************************************************************
+
+use  "$qjedata/county_gb_correlates_1940.dta", clear
+
+keep if dataset == "Retail"
+
+local varstostd  fracblack postal_b mig_bw_state_b mig_wi_state_b confed_symbol_N lynch_black naacp_chptrs1941 dissimilarity_po isolation_po alpha_po none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940    pop_b_1940   shareGBhotel  shareGBeating  shareGBgas
+
+
+foreach i of local varstostd {
+	egen std_`i' =  std(`i'), mean(0) std(1)
+}
+
+tempfile tFile
+save `tFile'
+
+local outcomes  shareGBeating shareGBgas  
+
+foreach k of local outcomes {
+
+use `tFile', clear
+tempfile t1
+
+parmby "reg std_`k' std_pop_b_1940, r", lab saving(`"`t1'"',replace) idn(1) ids(total) level(95)
+
+local varlist fracblack postal_b mig_bw_state mig_wi_state confed_symbol lynch_black naacp_chptrs1941 dissimilarity isolation alpha none_b none_w hotel_own_w eating_own_w hotel_own_b eating_own_b lforce_w incwage_w lforce_b incwage_b own_w_1940 own_b_1940 man_estab_1940   
+
+local j = 1
+foreach v of local varlist {
+	local j = `j' + 1
+	tempfile t`j'
+	parmby "reg std_`k' std_`v' std_pop_b_1940, r", lab saving(`"`t`j''"',replace) idn(`j') ids(total) level(95)
+}
+
+drop _all
+
+forvalues i=1(1)24 {
+	append using `"`t`i''"' 
+}
+
+drop if parm == "_cons"
+drop if parm == "std_pop_b_1940" & idn != 1
+
+gen ordervar = .
+
+// baseline corr bw black pop and gbpc 
+replace ordervar = 31 if parm == "std_fracblack"
+replace ordervar = 30 if parm == "std_pop_b_1940"
+
+// mail and migration
+replace ordervar = 28 if parm == "std_postal_b"
+replace ordervar = 27 if parm == "std_mig_bw_state_b"
+replace ordervar = 26 if parm == "std_mig_wi_state_b"
+
+// other discriminatory indices
+replace ordervar = 24 if parm == "std_confed_symbol_N"
+replace ordervar = 23 if parm == "std_lynch_black"
+replace ordervar = 22 if parm == "std_naacp_chptrs1941"
+
+// other segregation
+replace ordervar = 20 if parm == "std_dissimilarity_po"
+replace ordervar = 19 if parm == "std_isolation_po"
+replace ordervar = 18 if parm == "std_alpha_po"
+
+// education (black and white)
+replace ordervar = 16 if parm == "std_none_b"
+replace ordervar = 15 if parm == "std_none_w"
+
+// hotel owners and restaurant owners
+replace ordervar = 13 if parm == "std_hotel_own_w"
+replace ordervar = 12 if parm == "std_hotel_own_b"
+replace ordervar = 11 if parm == "std_eating_own_w"
+replace ordervar = 10 if parm == "std_eating_own_b"
+
+// affluence
+replace ordervar = 8 if parm == "std_lforce_w"
+replace ordervar = 7 if parm == "std_incwage_w"
+replace ordervar = 6 if parm == "std_own_w_1940"
+replace ordervar = 5 if parm == "std_lforce_b"
+replace ordervar = 4 if parm == "std_incwage_b"
+replace ordervar = 3 if parm == "std_own_b_1940"
+
+// manufacturing
+replace ordervar = 1 if parm == "std_man_estab_1940"
+
+
+#delimit ;   
+label define coefnames 
+					   31 `"Share Black"'
+					   30 `"Black Population"' 
+					   29 `" "' 
+					   28 `"# Black Postal Workers"' 
+					   27 `"% Black Migrants Between States"' 
+					   26 `"% Black Migrants Within States"' 
+					   25 `" "' 
+					   24 `"# Confederate Symbols"' 
+					   23 `"# Black Lynchings"' 
+					   22 `"# NAACP Chapters (1941)"' 
+					   21 `" "' 
+					   20 `"Dissimilarity Index"' 
+					   19 `"Isolation Index"' 
+					   18 `"Logan-Parman Index"' 
+					   17 `" "' 
+					   16 `"% Black With No Education"' 
+					   15 `"% White With No Education"' 
+					   14 `" "'
+					   13 `"# White Hotel Owners"'
+					   12 `"# White Restaurant Owners"'
+					   11 `"# Black Hotel Owners"'
+					   10 `"# Black Restaurant Owners"'
+					    9 `" "'
+					    8 `"% White in Labor Force"'
+					    7 `"White Wage/Salary Income"'
+					    6 `"% White Homeowners"'					   
+					    5 `"% Black in Labor Force"'					   
+					    4 `"Black Wage/Salary Income"'
+					    3 `"% Black Homeowners"'
+					    2 `" "'
+					    1 `"Manufacturing Establishments"'
+					    0 `" "'			
+;
+#delimit cr
+
+label values ordervar coefnames
+
+
+gen altmin95 = min95 
+gen altmax95 = max95 
+	
+#delimit ;
+twoway (scatter ordervar estimate, sort msymbol(square) mcolor(black) msize(small))
+		(rcap altmin95 altmax95 ordervar, sort lcolor(black) horizontal),
+		graphregion(color(white)) xline(0) 
+		legend(off)
+		ylabel(1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31,valuelabel labsize(vsmall) angle(0) grid)
+		ytitle("") xtitle("Estimate", margin(medium) size(small))
+		yline(0, lcolor(gs8) lpattern(dash))
+		yline(2, lcolor(gs8) lpattern(dash))
+		yline(9, lcolor(gs8) lpattern(dash))
+		yline(14, lcolor(gs8) lpattern(dash))
+		yline(17, lcolor(gs8) lpattern(dash))
+		yline(21, lcolor(gs8) lpattern(dash))
+		yline(25, lcolor(gs8) lpattern(dash))
+		yline(29, lcolor(gs8) lpattern(dash))
+		yline(32, lcolor(gs8) lpattern(dash))
+		xsize(8) ysize(8);
+#delimit cr
+
+graph export "$figures/`k'_correlates_Retail.pdf", replace
+
+}
+
+
+********************************************************************************
+*--------------			FIG 7: Balance of Covariates			---------------*
+********************************************************************************
+
+/*
+// WE NEED TO UPDATE THIS IN THE TEXT
+tempfile t1
+
+use "/Users/maggiejones/Dropbox/Research/Green Books/Green Books/Data/Raw/Census County Data (Haines)/1940_pt1/ICPSR_02896/data/Census_1940pt1.dta", clear
+
+keep county state areaac acfarms
+
+rename (county state) (ICPSRCTY ICPSRST)
+
+save `t1'
+
+use "$qjedata/county_gb_main.dta", clear // NEW MAIN GB COUNTY LEVEL DATA
+
+merge m:1 ICPSRST ICPSRCTY using `t1'
+
+drop shr_farmland shr_farmland_miss
+
+gen shr_farmland = acfarms/areaac
+	gen shr_farmland_miss = (shr_farmland == .)
+	replace shr_farmland = 0 if shr_farmland == .
+*/
+	
+use "$qjedata/county_gb_main.dta", clear // NEW MAIN GB COUNTY LEVEL DATA
+
+#delimit ;
+global countycontrols 
+
+shr_farmland
+
+pop_b_1940
+pop_w_1940
+
+postal_b
+mig_bw_state_b
+mig_wi_state_b
+
+confed_symbol_N
+lynch_black
+naacp_chptrs1941
+
+dissimilarity_po
+isolation_po
+alpha_po
+
+none_b
+educ_lo_1940_b
+educ_hs_1940_b
+none_w
+educ_lo_1940_w
+educ_hs_1940_w
+
+hotel_own_w
+hotel_own_b
+eating_own_w
+eating_own_b
+
+lforce_w
+lforce_b
+incwage_w
+incwage_b
+own_w_1940
+own_b_1940
+
+man_estab_1940
+man_worker_1940
+man_wages_1940
+man_output_1940
+man_vadd_1940
+
+warsup_com_1940 
+warsup_oth_1940 
+warfac_ind_1940 
+warfac_mil_1940 
+war_total_1940;
+#delimit cr
+
+egen std_killed_w = std(killed_w), mean(0) std(1)
+
+local j = 0
+
+foreach i of global countycontrols {
+	capture gen `i'_miss = (`i' == .)
+	egen std_`i' = std(`i'), mean(0) std(1)
+	local j = `j' + 1
+	tempfile t`j'
+	parmby "reg std_killed_w std_`i' `i'_miss i.stateid pop1940 if year == 1940, r", lab saving(`"`t`j''"',replace) idn(`j') ids(Unadjusted)
+}
+
+use `t1', clear
+
+forvalues k = 2(1)`j' {
+	append using `t`k''
+}
+
+gen missingvars = strpos(parm, "miss")
+	drop if missingvars != 0
+	
+gen statevars = strpos(parm, "stateid")
+	drop if statevars != 0
+	
+	drop if parm == "_cons"
+	drop if parm == "pop1940"
+	
+gen estimate_sig = .
+	replace estimate_sig = estimate if min95 > 0 & max95 > 0
+	replace estimate_sig = estimate if min95 < 0 & max95 < 0
+	
+#delimit ;	
+label define varnames 
+1	 `"Share Farmland"' 
+2	 `"Black Pop"' 
+3	 `"White Pop"' 
+4	 `"Black Postal Workers"' 
+5	 `"# Black Migrants b/w"' 
+6	 `"# Black Migrants w/i"' 
+7	 `"# Confederate Symbols"' 
+8	 `"# Black Lynchings"' 
+9	 `"# NAACP Chapters"' 
+10	 `"Dissimilarity Index"' 
+11	 `"Isolation Index"' 
+12	 `"Logan-Parman Index"' 
+13	 `"% Black No School"' 
+14	 `"% Black >= 5 Years School"' 
+15	 `"% Black >= 10 Years School"' 
+16	 `"% White No School"' 
+17	 `"% White >= 5 Years School"' 
+18	 `"% White >= 10 Years School"' 
+19	 `"# White Hotel Owners"' 
+20	 `"# Black Hotel Owners"' 
+21	 `"# White Restaurant Owners"' 
+22	 `"# Black Restaurant Owners"' 
+23	 `"% White in LF"' 
+24	 `"% Black in LF"' 
+25	 `"White Avg Income"' 
+26	 `"Black Avg Income"' 
+27	 `"# White Home Owners"' 
+28	 `"# Black Home Owners"' 
+29	 `"# Manufacturing Establishments"' 
+30	 `"# Manufacturing Workers"' 
+31	 `"Manufacturing Wages"' 
+32	 `"Manufacturing Output"' 
+33	 `"Manufacturing Value Added"' 
+34	 `"War Supply Contracts"' 
+35	 `"War Supply Other"' 
+36	 `"War Supply Industry"' 
+37	 `"War Supply Military"' 
+38	 `"War Supply Total"' 	;
+#delimit cr
+	
+label values idnum varnames
+
+#delimit ;
+twoway (scatter idnum estimate , sort mcolor(black) msymbol(square) msize(small))
+		(rcap min95 max95 idnum, horizontal sort lcolor(black)), 
+		 legend(off) xline(0) ysize(7) xsize(3) 
+		 ylabel(1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
+		 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38,valuelabel) 
+		 xtitle(Estimate, margin(medium)) ytitle(""); 
+graph export "$figures/covariate_balance_std.pdf", replace ;
+#delimit cr
+
+
+
+********************************************************************************
+*--------------	TAB 1: Diff in Diff using Draftee Mortality		---------------*
+********************************************************************************
+
+use "$qjedata/county_gb_main.dta", clear
+
+#delimit ;
+global countycontrols 
+
+shr_farmland
+
+pop_b_1940
+pop_w_1940
+
+postal_b
+mig_bw_state_b
+mig_wi_state_b
+
+confed_symbol_N
+lynch_black
+naacp_chptrs1941
+
+dissimilarity_po
+isolation_po
+alpha_po
+
+none_b
+educ_lo_1940_b
+educ_hs_1940_b
+none_w
+educ_lo_1940_w
+educ_hs_1940_w
+
+hotel_own_w
+hotel_own_b
+eating_own_w
+eating_own_b
+
+lforce_w
+lforce_b
+incwage_w
+incwage_b
+own_w_1940
+own_b_1940
+
+man_estab_1940
+man_worker_1940
+man_wages_1940
+man_output_1940
+man_vadd_1940
+
+warsup_com_1940 
+warsup_oth_1940 
+warfac_ind_1940 
+warfac_mil_1940 
+war_total_1940;
+
+#delimit cr
+
+#delimit ;
+global countycontrolsmissing 
+
+shr_farmland_miss
+
+pop_b_1940_miss
+pop_w_1940_miss
+
+mig_bw_state_b_miss
+mig_wi_state_b_miss
+
+confed_symbol_N_miss
+lynch_black_miss
+
+dissimilarity_po_miss
+isolation_po_miss
+alpha_po_miss
+
+none_b_miss
+educ_lo_1940_b_miss
+educ_hs_1940_b_miss
+none_w_miss
+educ_lo_1940_w_miss
+educ_hs_1940_w_miss
+
+own_w_1940_miss
+own_b_1940_miss
+
+man_estab_1940_miss
+man_worker_1940_miss
+man_wages_1940_miss
+man_output_1940_miss
+man_vadd_1940_miss 
+
+war_total_1940_miss 
+warsup_com_1940_miss 
+warsup_oth_1940_miss 
+warfac_ind_1940_miss 
+warfac_mil_1940_miss;
+#delimit cr
+	
+foreach a of global countycontrols {
+	gen asinh_`a' = asinh(`a')
+	}
+
+foreach a of global countycontrols {
+	gen postint_`a' = asinh_`a'*after
+}
+
+foreach a of global countycontrolsmissing {
+	gen mis_`a' = `a'*after
+}
+
+gen misscontrols = 0
+	foreach a of global countycontrolsmissing {
+		replace misscontrols = 1 if `a' == 1
+	}
+ 
+estimates clear
+// PANEL A: FULL SAMPLE
+*col 1  reg: diff in diff no fe
+qui: eststo: xi: reg a_gb_tot a_killed_draft_w a_killed_draft_w_after after, cluster(county_code)
+*col 2  reg: state FE
+qui: eststo: xi: reg a_gb_tot a_killed_draft_w a_killed_draft_w_after after i.stateid , cluster(county_code)
+*col 3 reg: county controls, year FE
+qui: eststo: xi: reg a_gb_tot a_killed_draft_w a_killed_draft_w_after postint_* mis_* asinh_* $countycontrolsmissing i.year i.stateid  , cluster(county_code)
+*col 4:   reg: county FE, year FE
+qui: eststo: xi: areg a_gb_tot a_killed_draft_w_after i.year  , absorb(county_code) cluster(county_code)
+*col 5:   reg: stateXyear FE, county FE
+qui: eststo: xi: areg a_gb_tot a_killed_draft_w_after i.stateid*i.year   , absorb(county_code) cluster(county_code)
+*col 6 reg: county-level linear time trends, county FE, year FE
+//qui: eststo: xi: areg a_gb_tot a_killed_draft_w_after i.year c.year##i.county_code , absorb(county_code) cluster(county_code)
+	
+#delimit ;
+esttab using  "$tables/a_killed_draft_white_did_gbtot.tex", replace label title("Effects of White Draftee Casualties on Number of Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)    
+	scalar("N_clust \# clusters") nomtitles keep(a_killed_draft_w_after) 
+	varlabel(a_killed_draft_w_after	"Asinh(\# White Deaths) $\times$ Post-WW2") ;	
+estimates clear ;
+#delimit cr
+ 
+// PANEL B: BY INDUSTRY
+*col 1  reg: Barber\beauty parlors: year FE and county FE
+qui: eststo barber: areg a_num_est_barber a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+*col 2  reg: Eating and drinking: year FE and county FE
+qui: eststo eating: areg a_num_est_eating a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+*col 3  reg: Service stations: year FE and county FE
+qui: eststo gas: areg a_num_est_gas a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+*col 4  reg: Formal accommodations: year FE and county FE
+qui: eststo hotel: areg a_num_est_hotel a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+*col 5  reg: Informal accommodations: year FE and county FE
+qui: eststo informal: areg a_num_est_informal a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+*col 6  reg: Other establishments: year FE and county FE
+qui: eststo other: areg a_num_est_other a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+
+#delimit ;
+esttab using "$tables/a_killed_draft_white_did_by_industry.tex", replace label title("Effects of White Casualties on Number of Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)  scalar(N_clust)
+	addnotes("Standard errors clustered by county in parentheses.
+	Casualties are measured in units of 100. 
+	All columns include county and year fixed effects.")  
+	mtitles keep(a_killed_draft_w_after)
+	varlabel(a_killed_draft_w_after
+	"Treatment") ;
+estimates clear ;
+#delimit cr
+
+
+// PANEL C: SHARES
+use "$qjedata/county_gb_hotels_panel.dta", clear
+
+estimates clear
+eststo: areg a_shareGBhotel_i2 a_killed_draft_w_after i.year, absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBhotel_i2 a_killed_draft_w_after i.stateid*i.year , absorb(county_code) cluster(county_code)
+
+use "$qjedata/county_gb_retail_panel.dta", clear
+
+eststo: areg a_shareGBeat_i2 a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBeat_i2 a_killed_draft_w_after i.stateid*i.year , absorb(county_code) cluster(county_code)
+
+eststo: areg a_shareGBgas_i2 a_killed_draft_w_after i.year , absorb(county_code) cluster(county_code)
+eststo: xi: areg a_shareGBgas_i2 a_killed_draft_w_after i.stateid*i.year , absorb(county_code) cluster(county_code)
+
+#delimit ;
+esttab using "$tables/a_killed_draft_white_did_shares.tex", replace label title("Effects of White Casualties on Share of GB Establishments") 
+	star(* 0.10 ** 0.05 *** 0.01) se ar2 b(a3) se(3)  scalar(N_clust)
+	addnotes("Standard errors clustered by county in parentheses.
+	Casualties are measured in units of 100. 
+	All columns include county and year fixed effects.")  
+	mtitles keep(a_killed_draft_w_after)
+	varlabel(a_killed_draft_w_after
+	"Treatment") ;
+estimates clear ;
+#delimit cr
+
+
+********************************************************************************
+*--------------		TAB 2-4: IV Functional Form	by Industry		---------------*
+********************************************************************************
+
+estimates clear
+
+// HOTELS
+use "$qjedata/county_gb_hotels.dta", clear
+
+gen d_gbhotel4050 = (gbhotel1950 - gbhotel1940)/numCOBhotel1940
+gen d_gbhotel5060 = (gbhotel1960 - gbhotel1950)/numCOBhotel1950
+
+gen d_blackshr4050 = (pop_b_1950-pop_b_1940)/pop1940
+gen d_blackshr5060 = (pop_b_1960-pop_b_1950)/pop1950
+
+
+foreach v in d_gbhotel4050 d_gbhotel5060 d_blackshr4050 d_blackshr5060 killed_w bartikshock4050 bartikshock5060 {
+	gen a_`v' = asinh(`v')
+}
+
+gen a_delta_shrhotel = asinh((gbhotel1950/numCOBhotel1950) - (gbhotel1940/numCOBhotel1940))
+gen a_delta_shrblack = asinh((pop_b_1950/pop1950) - (pop_b_1940/pop1940))
+
+gen a_pct_d_shrblack = asinh(((pop_b_1950/pop1950) - (pop_b_1940/pop1940))/(pop_b_1940/pop1940))
+gen a_pct_d_shrhotel= asinh(((gbhotel1950/numCOBhotel1950) - (gbhotel1940/numCOBhotel1940))/(gbhotel1940/numCOBhotel1940))
+gen a_dhotels = asinh((numCOBhotel1950-numCOBhotel1940)/numCOBhotel1940)
+
+***
+//ols
+eststo rob_ols_5060_hotel: reg a_d_gbhotel5060 a_d_blackshr5060 i.stateid if num_hotel_CoBab1948 != . & us_region != "South"
+eststo rob_ols_delta_hotel: reg a_delta_shrhotel a_delta_shrblack i.stateid if num_hotel_CoBab1935 != .
+eststo rob_ols_pct_hotel: reg a_pct_d_shrhotel a_pct_d_shrblack i.stateid if num_hotel_CoBab1935 != .
+eststo rob_ols_chgest_hotel: reg a_d_gbhotel4050 a_d_blackshr4050 a_dhotel i.stateid if num_hotel_CoBab1935 != .
+
+//iv
+eststo rob_iv_5060_hotel: ivreg2 a_d_gbhotel5060 (a_d_blackshr5060 = a_bartikshock5060) i.stateid if num_hotel_CoBab1948 != .  & us_region != "South", partial(i.stateid)  first
+eststo rob_iv_delta_hotel: ivreg2 a_delta_shrhotel (a_delta_shrblack = a_killed_w) i.stateid if num_hotel_CoBab1935 != ., partial(i.stateid)  first
+eststo rob_iv_pct_hotel: ivreg2 a_pct_d_shrhotel (a_pct_d_shrblack = a_killed_w) i.stateid if num_hotel_CoBab1935 != .,partial(i.stateid)  first
+eststo rob_iv_chgest_hotel: ivreg2 a_d_gbhotel4050 (a_d_blackshr4050 = a_killed_w) a_dhotel i.stateid if num_hotel_CoBab1935 != ., partial(i.stateid)  first
+
+***
+
+// EATING & DRINKING / GASOLINE STATIONS
+use "$qjedata/county_gb_retail.dta", clear
+
+gen d_gbeat4050 = (gbeat1950 - gbeat1940)/numCOBeat1940
+gen d_gbgas4050 = (gbgas1950 - gbgas1940)/numCOBgas1940
+gen d_blackshr4050 = (pop_b_1950-pop_b_1940)/pop1940
+
+foreach v in d_gbeat4050 d_gbgas4050 d_blackshr4050 killed_w bartikshock4050 {
+	gen a_`v' = asinh(`v')
+}
+
+
+gen a_delta_shreat = asinh((gbeat1950/numCOBeat1950) - (gbeat1940/numCOBeat1940))
+gen a_delta_shrgas = asinh((gbgas1950/numCOBgas1950) - (gbgas1940/numCOBgas1940))
+
+gen a_delta_shrblack = asinh((pop_b_1950/pop1950) - (pop_b_1940/pop1940))
+
+gen a_pct_d_shrblack = asinh(((pop_b_1950/pop1950) - (pop_b_1940/pop1940))/(pop_b_1940/pop1940))
+gen a_pct_d_shreat= asinh(((gbeat1950/numCOBeat1950) - (gbeat1940/numCOBeat1940))/(gbeat1940/numCOBeat1940))
+gen a_pct_d_shrgas= asinh(((gbgas1950/numCOBgas1950) - (gbgas1940/numCOBgas1940))/(gbgas1940/numCOBgas1940))
+
+gen a_deat = asinh((numCOBeat1950-numCOBeat1940)/numCOBeat1940)
+gen a_dgas = asinh((numCOBgas1950-numCOBgas1940)/numCOBgas1940)
+
+***
+
+// EATING AND DRINKING
+
+
+// ols
+eststo rob_ols_delta_eat: reg a_delta_shreat a_delta_shrblack i.stateid if num_eat_CoB1935 != .
+eststo rob_ols_pct_eat: reg a_pct_d_shreat a_pct_d_shrblack  i.stateid if num_eat_CoB1935 != .
+eststo rob_ols_chgest_eat: reg a_d_gbeat4050 a_d_blackshr4050 a_deat i.stateid if num_eat_CoB1935 != .
+
+// iv
+eststo rob_iv_delta_eat: ivreg2 a_delta_shreat (a_delta_shrblack = a_killed_w) i.stateid if num_eat_CoB1935 != ., partial(i.stateid)  first
+eststo rob_iv_pct_eat: ivreg2 a_pct_d_shreat (a_pct_d_shrblack = a_killed_w)  i.stateid  if num_eat_CoB1935 != ., partial(i.stateid)  first
+eststo rob_iv_chgest_eat: ivreg2 a_d_gbeat4050 (a_d_blackshr4050 = a_killed_w) a_deat i.stateid if num_eat_CoB1935 != .,  partial(i.stateid)  first
+
+***
+
+// GAS STATIONS
+
+
+// ols
+
+eststo rob_ols_delta_gas: reg a_delta_shrgas a_delta_shrblack i.stateid if num_gas_CoB1935 != .
+eststo rob_ols_pct_gas: reg a_pct_d_shrgas a_pct_d_shrblack  i.stateid if num_gas_CoB1935 != .
+eststo rob_ols_chgest_gas: reg a_d_gbgas4050 a_d_blackshr4050 a_dgas i.stateid if num_gas_CoB1935 != .
+
+// iv
+eststo rob_iv_delta_gas: ivreg2 a_delta_shrgas (a_delta_shrblack = a_killed_w) i.stateid if num_gas_CoB1935 != ., partial(i.stateid)  first
+eststo rob_iv_pct_gas: ivreg2 a_pct_d_shrgas (a_pct_d_shrblack = a_killed_w) i.stateid if num_gas_CoB1935 != ., partial(i.stateid)  first
+eststo rob_iv_chgest_gas: ivreg2 a_d_gbgas4050 (a_d_blackshr4050 = a_killed_w) a_dgas i.stateid if num_gas_CoB1935 != .,  partial(i.stateid)  first
+
+***
+
+// TABLE RESULTS
+
+#delimit ;
+	esttab rob_ols_5060_hotel rob_ols_delta_hotel rob_ols_pct_hotel rob_ols_chgest_hotel using "$tables/iv_robust_hotels.tex", replace label title("OLS results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_d_blackshr5060  a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);
+		
+	esttab rob_iv_5060_hotel rob_iv_delta_hotel rob_iv_pct_hotel rob_iv_chgest_hotel using "$tables/iv_robust_hotels.tex", append label title("IV results for the change in the share of non-discriminatory hotels") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_d_blackshr5060  a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);
+
+	esttab rob_ols_delta_eat rob_ols_pct_eat rob_ols_chgest_eat using "$tables/iv_robust_eatingdrinking.tex", replace label title("OLS results for the change in the share of non-discriminatory eating and drinking establishments") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);
+		
+	esttab rob_iv_delta_eat rob_iv_pct_eat rob_iv_chgest_eat using "$tables/iv_robust_eatingdrinking.tex", append label title("IV results for the change in the share of non-discriminatory eating and drinking establishments") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);
+		
+	esttab rob_ols_delta_gas rob_ols_pct_gas rob_ols_chgest_gas using "$tables/iv_robust_gas.tex", replace label title("OLS results for the change in the share of non-discriminatory gasoline stations") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);
+		
+	esttab rob_iv_delta_gas rob_iv_pct_gas rob_iv_chgest_gas using "$tables/iv_robust_gas.tex", append label title("IV results for the change in the share of non-discriminatory gasoline stations") 
+		star(* 0.10 ** 0.05 *** 0.01) scalars(widstat) se ar2 b(a3) se(3) addnotes("Standard errors in parentheses.") 
+		keep(a_delta_shrblack a_pct_d_shrblack a_d_blackshr4050);		
+#delimit cr
+
+
+
+

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109/replication_package/Output/Tables/a_killed_draft_white_did_by_industry.tex

@@ -0,0 +1,20 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Casualties on Number of Establishments}
+\begin{tabular}{l*{6}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
+                    &\multicolumn{1}{c}{barber}&\multicolumn{1}{c}{eating}&\multicolumn{1}{c}{gas}&\multicolumn{1}{c}{hotel}&\multicolumn{1}{c}{informal}&\multicolumn{1}{c}{other}\\
+\hline
+Treatment           &      0.0515\sym{***}&      0.0686\sym{***}&      0.0242\sym{***}&      0.0179\sym{***}&     0.00493         &      0.0552\sym{***}\\
+                    &     (0.008)         &     (0.009)         &     (0.005)         &     (0.005)         &     (0.005)         &     (0.008)         \\
+\hline
+Observations        &       37248         &       37248         &       37248         &       37248         &       37248         &       37248         \\
+Adjusted \(R^{2}\)  &       0.817         &       0.844         &       0.766         &       0.865         &       0.878         &       0.787         \\
+N\_clust             &        3104         &        3104         &        3104         &        3104         &        3104         &        3104         \\
+\hline\hline
+\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{7}{l}{\footnotesize Standard errors clustered by county in parentheses.         Casualties are measured in units of 100.          All columns include county and year fixed effects.}\\
+\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/a_killed_draft_white_did_gbtot.tex

@@ -0,0 +1,18 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Draftee Casualties on Number of Establishments}
+\begin{tabular}{l*{5}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         &\multicolumn{1}{c}{(5)}         \\
+\hline
+Asinh(\# White Deaths) $\times$ Post-WW2&      0.0605\sym{***}&      0.0605\sym{***}&      0.0191\sym{*}  &      0.0605\sym{***}&      0.0880\sym{***}\\
+                    &     (0.008)         &     (0.008)         &     (0.011)         &     (0.009)         &     (0.012)         \\
+\hline
+Observations        &       37248         &       37248         &       37248         &       37248         &       37248         \\
+Adjusted \(R^{2}\)  &       0.170         &       0.248         &       0.624         &       0.906         &       0.909         \\
+\# clusters         &        3104         &        3104         &        3104         &        3104         &        3104         \\
+\hline\hline
+\multicolumn{6}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{6}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/a_killed_draft_white_did_shares.tex

@@ -0,0 +1,20 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Casualties on Share of GB Establishments}
+\begin{tabular}{l*{6}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
+                    &\multicolumn{1}{c}{est1}&\multicolumn{1}{c}{est2}&\multicolumn{1}{c}{est3}&\multicolumn{1}{c}{est4}&\multicolumn{1}{c}{est5}&\multicolumn{1}{c}{est6}\\
+\hline
+Treatment           &    0.000389         &     0.00147\sym{*}  &    0.000229\sym{***}&    0.000401\sym{***}&  -0.0000583         &    0.000104         \\
+                    &     (0.001)         &     (0.001)         &     (0.000)         &     (0.000)         &     (0.000)         &     (0.000)         \\
+\hline
+Observations        &       23953         &       23953         &       36620         &       36620         &       36684         &       36684         \\
+Adjusted \(R^{2}\)  &       0.668         &       0.677         &       0.744         &       0.744         &       0.638         &       0.637         \\
+N\_clust             &        2957         &        2957         &        3071         &        3071         &        3070         &        3070         \\
+\hline\hline
+\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{7}{l}{\footnotesize Standard errors clustered by county in parentheses.         Casualties are measured in units of 100.          All columns include county and year fixed effects.}\\
+\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/a_killed_white_did_by_industry.tex

@@ -0,0 +1,20 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Casualties on Number of Establishments}
+\begin{tabular}{l*{6}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
+                    &\multicolumn{1}{c}{barber}&\multicolumn{1}{c}{eating}&\multicolumn{1}{c}{gas}&\multicolumn{1}{c}{hotel}&\multicolumn{1}{c}{informal}&\multicolumn{1}{c}{other}\\
+\hline
+Treatment           &      0.0550\sym{***}&      0.0740\sym{***}&      0.0263\sym{***}&      0.0192\sym{***}&     0.00488         &      0.0602\sym{***}\\
+                    &     (0.008)         &     (0.010)         &     (0.005)         &     (0.005)         &     (0.005)         &     (0.009)         \\
+\hline
+Observations        &       37248         &       37248         &       37248         &       37248         &       37248         &       37248         \\
+Adjusted \(R^{2}\)  &       0.818         &       0.844         &       0.766         &       0.865         &       0.878         &       0.788         \\
+N\_clust             &        3104         &        3104         &        3104         &        3104         &        3104         &        3104         \\
+\hline\hline
+\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{7}{l}{\footnotesize Standard errors clustered by county in parentheses.         Casualties are measured in units of 100.          All columns include county and year fixed effects.}\\
+\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/a_killed_white_did_gbtot.tex

@@ -0,0 +1,18 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Casualties on Number of Establishments}
+\begin{tabular}{l*{5}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         &\multicolumn{1}{c}{(5)}         \\
+\hline
+Asinh(\# White Deaths) $\times$ Post-WW2&      0.0650\sym{***}&      0.0650\sym{***}&      0.0263\sym{*}  &      0.0650\sym{***}&      0.0884\sym{***}\\
+                    &     (0.009)         &     (0.009)         &     (0.014)         &     (0.009)         &     (0.012)         \\
+\hline
+Observations        &       37248         &       37248         &       37248         &       37248         &       37248         \\
+Adjusted \(R^{2}\)  &       0.179         &       0.257         &       0.624         &       0.906         &       0.909         \\
+\# clusters         &        3104         &        3104         &        3104         &        3104         &        3104         \\
+\hline\hline
+\multicolumn{6}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{6}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/a_killed_white_did_shares.tex

@@ -0,0 +1,20 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{Effects of White Casualties on Share of GB Establishments}
+\begin{tabular}{l*{6}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
+                    &\multicolumn{1}{c}{est1}&\multicolumn{1}{c}{est2}&\multicolumn{1}{c}{est3}&\multicolumn{1}{c}{est4}&\multicolumn{1}{c}{est5}&\multicolumn{1}{c}{est6}\\
+\hline
+Treatment           &    0.000474         &     0.00137         &    0.000234\sym{**} &    0.000399\sym{***}&  -0.0000661         &   0.0000762         \\
+                    &     (0.001)         &     (0.001)         &     (0.000)         &     (0.000)         &     (0.000)         &     (0.000)         \\
+\hline
+Observations        &       23953         &       23953         &       36620         &       36620         &       36684         &       36684         \\
+Adjusted \(R^{2}\)  &       0.668         &       0.677         &       0.744         &       0.744         &       0.638         &       0.637         \\
+N\_clust             &        2957         &        2957         &        3071         &        3071         &        3070         &        3070         \\
+\hline\hline
+\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{7}{l}{\footnotesize Standard errors clustered by county in parentheses.         Casualties are measured in units of 100.          All columns include county and year fixed effects.}\\
+\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}

109/replication_package/Output/Tables/iv_robust_eatingdrinking.tex

@@ -0,0 +1,52 @@
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{OLS results for the change in the share of non-discriminatory eating and drinking establishments}
+\begin{tabular}{l*{3}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}\\
+                    &\multicolumn{1}{c}{a\_delta\_shreat}&\multicolumn{1}{c}{a\_pct\_d\_shreat}&\multicolumn{1}{c}{a\_d\_gbeat4050}\\
+\hline
+a\_delta\_shrblack    &      0.0166\sym{**} &                     &                     \\
+                    &     (0.008)         &                     &                     \\
+[1em]
+a\_pct\_d\_shrblack    &                     &       0.535         &                     \\
+                    &                     &     (0.350)         &                     \\
+[1em]
+a\_d\_blackshr4050    &                     &                     &      0.0230\sym{***}\\
+                    &                     &                     &     (0.005)         \\
+\hline
+Observations        &        3050         &         125         &        3050         \\
+Adjusted \(R^{2}\)  &       0.002         &      -0.050         &       0.010         \\
+widstat             &                     &                     &                     \\
+\hline\hline
+\multicolumn{4}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{4}{l}{\footnotesize Standard errors in parentheses.}\\
+\multicolumn{4}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}
+\begin{table}[htbp]\centering
+\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
+\caption{IV results for the change in the share of non-discriminatory eating and drinking establishments}
+\begin{tabular}{l*{3}{c}}
+\hline\hline
+                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}\\
+                    &\multicolumn{1}{c}{a\_delta\_shreat}&\multicolumn{1}{c}{a\_pct\_d\_shreat}&\multicolumn{1}{c}{a\_d\_gbeat4050}\\
+\hline
+a\_delta\_shrblack    &       1.273         &                     &                     \\
+                    &     (1.302)         &                     &                     \\
+[1em]
+a\_pct\_d\_shrblack    &                     &       4.574\sym{*}  &                     \\
+                    &                     &     (2.418)         &                     \\
+[1em]
+a\_d\_blackshr4050    &                     &                     &      0.0578\sym{**} \\
+                    &                     &                     &     (0.024)         \\
+\hline
+Observations        &        3050         &         125         &        3050         \\
+Adjusted \(R^{2}\)  &      -8.199         &      -2.193         &      -0.026         \\
+widstat             &       1.030         &       3.661         &       135.7         \\
+\hline\hline
+\multicolumn{4}{l}{\footnotesize Standard errors in parentheses}\\
+\multicolumn{4}{l}{\footnotesize Standard errors in parentheses.}\\
+\multicolumn{4}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
+\end{tabular}
+\end{table}