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| cd "${mainpath}"
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| use D_all_data, clear
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| replace duty301_scaled = 0 if duty301_scaled==.
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| gen val_duties = val*duty301_scaled
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| collapse (sum) val_duties val, by(year ctryname naics4)
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| gen duty = val_duties/val
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| rename ctryname source
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| save PE_duties, replace
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| use D_all_source_district, clear
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| replace cv = cv/(10^9)
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| preserve
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| collapse (sum) cv, by(source naics4)
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| replace cv=0 if source=="China"
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| egen source_rank = rank(-cv), by(naics4)
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| gen source_top = source if source_rank<=3
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| replace source_top = "China" if source=="China"
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| replace source_top = "ROW" if source_top==""
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| replace source_rank = 0 if source_top=="China"
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| replace source_rank = 4 if source_top=="ROW"
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| keep naics4 source source_top source_rank
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| tempfile topsectors
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| save `topsectors'
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| restore
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| merge m:1 naics4 source using `topsectors', keep(1 3) nogen
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| collapse (sum) cv, by(year source_top naics4)
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| rename source_top source
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| merge 1:1 year source naics4 using PE_duties, keep(1 3) nogen
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| keep year source naics4 cv duty
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| replace duty = 0 if duty==.
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| save PE_trade_data, replace
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| use D_all_source_district, clear
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| gen lcr = ldpv/cv
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| label variable lcr "LDPV/CV ratio"
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| gen log_ldpv = log(ldpv)
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| gen log_lcr = log(lcr)
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| egen sit = group(naics4 source year)
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| egen sdt = group(naics4 district year)
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| gen sigma = .
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| gen sigma_se = .
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| levelsof naics4, local(sectors)
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| foreach n4 of local sectors {
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| di "Sector: `n4'"
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| capture: reghdfe log_ldpv log_lcr if naics4 == "`n4'", a(sit sdt) vce(robust)
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| if _rc==0 {
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| replace sigma = 1-_b[log_lcr] if naics4 == "`n4'"
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| replace sigma_se = _se[log_lcr] if naics4 == "`n4'"
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| }
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| }
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| preserve
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| reghdfe log_ldpv log_lcr, a(sit sdt) vce(robust)
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| gen sigma_pool = 1-_b[log_lcr]
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| gen sigma_se_pool = _se[log_lcr]
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| collapse (mean) sigma sigma_se sigma_pool sigma_se_pool, by(naics4)
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| save PE_sigma, replace
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| restore
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| import excel "D_GO_by_NAICS.xlsx", sheet("GO_by_NAICS") firstrow case(lower) clear
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| rename (d e f g h i) (go2016 go2017 go2018 go2019 go2020 go2021)
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| rename naicscode naics6
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| drop line name
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| reshape long go, i(naics6) j(year)
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| gen naics4 = substr(naics6,1,4)
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| collapse (sum) go, by(naics4 year)
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| replace go = go/(10^3)
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| gen source="United States"
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| gen duty=0
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| rename go cv
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| save PE_domestic_data, replace
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