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require(lme4)
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require(lfe)
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require(MatchIt)
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require(WeightIt)
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require(tjbal)
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require(optmatch)
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require(stargazer)
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require(cobalt)
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require(gridExtra)
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require(ggridges)
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require(ggrepel)
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require(CBPS)
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require(tidyverse)
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rm(list = ls())
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gc()
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load('../Data/replication_data.RData')
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source('./helper_functions.R')
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Y <- paste0(c("pct_","VAP_","pcttw_"),"sanders")
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D <- unlist(lapply(c("sc_","ln_"),function(x) paste0(x,paste0(c("county_","DMA_","state_"),"cases"))))
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FE <- c("0","DMA_CODE","date")
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covariates <- c("sc_CTY_LTHS","sc_CTY_CollUp",
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"sc_CTY_LT30yo","sc_CTY_60Up",
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"sc_CTY_Below_poverty_level_AGE_18_64","sc_CTY_Female_hher_no_husbandhh",
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"sc_CTY_Unem_rate_pop_16_over","sc_CTY_Labor_Force_Part_Rate_pop_16_over",
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"sc_CTY_Manufactur","sc_CTY_Md_inc_hhs",
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"sc_CTY_POPPCT_RURAL","sc_CTY_Speak_only_English","sc_CTY_White","sc_CTY_Black_or_African_American",
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"ln_CTY_tot_pop","sc_turnout_pct_20")
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set.seed(123)
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resSI <- list()
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for(y in 'pcttw_sanders') {
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for(fe in c('DMA_CODE','0')) {
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for(geo in 'DMA_') {
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for(d in c('March10Cases','March17Cases')) {
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for(pre in c("2020-03-01","2020-03-03","2020-03-10","2020-03-17")) {
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for(post in c("2020-03-01","2020-03-03","2020-03-10","2020-03-17")) {
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if(pre == post) { next }
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if(pre == "2020-03-01") {
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finalDat$post <- ifelse(finalDat$date == as.Date(post),1,
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ifelse(finalDat$date <= as.Date(pre),0,NA))
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} else if(post == "2020-03-01") {
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finalDat$post <- ifelse(finalDat$date <= as.Date(post),1,
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ifelse(finalDat$date == as.Date(pre),0,NA))
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} else {
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finalDat$post <- ifelse(finalDat$date == as.Date(post),1,
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ifelse(finalDat$date == as.Date(pre),0,NA))
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}
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finalDat$treatBin <- ifelse(finalDat[[paste0(geo,d)]] > 1,1,0)
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finalDat$treat <- ifelse(finalDat$post == 1 & finalDat$treatBin == 1,1,0)
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tmpAnal <- finalDat %>% select(Y,treat,treatBin,c(covariates,paste0(y,"16")),pcttw_sanders16,VAP_sanders16,DMA_CODE,date,stab,matches("cases"),post) %>% filter(complete.cases(.))
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m.out <- matchit(formula = as.formula(paste("treatBin ~ ",paste(c(covariates,paste0(y,"16")),collapse = " + "))),
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data = tmpAnal,
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method = "nearest",
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distance = "mahalanobis")
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m.data <- match.data(m.out)
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W.out <- weightit(formula(paste0("treatBin ~ ",paste(c(covariates,paste0(y,"16")),collapse = " + "))),
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data = tmpAnal, estimand = "ATT", method = "cbps")
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$bin <- summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$cont <- summary(felm(as.formula(paste0('scale(',y,") ~ ",paste0("scale(",geo,d,")")," + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$did$coefs <- summary(tmp <- felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$did$mfx <- interaction_plot_continuous(tmp,num_points = 2,pointsplot = T)
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$bin <- summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$cont <- summary(felm(as.formula(paste0('scale(',y,") ~ ",paste0("scale(",geo,d,")")," + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$did$coefs <- summary(tmp <- felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$did$mfx <- interaction_plot_continuous(tmp,num_points = 2,pointsplot = T)
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$bin <- summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$cont <- summary(felm(as.formula(paste0('scale(',y,") ~ ",paste0("scale(",geo,d,")")," + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$did$coefs <- summary(tmp <- felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$did$mfx <- interaction_plot_continuous(tmp,num_points = 2,pointsplot = T)
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basic.bin.plac <- basic.cont.plac <- basic.did.plac <- matching.bin.plac <- matching.cont.plac <- matching.did.plac <- weighting.bin.plac <- weighting.cont.plac <- weighting.did.plac <- NULL
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for(bs in 1:100) {
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tmpAnal$perm <- sample(tmpAnal[[paste0(geo,d)]],size = nrow(tmpAnal))
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tmpAnal$treatBin <- ifelse(tmpAnal$perm > 1,1,0)
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tmpAnal$treat <- ifelse(tmpAnal$post == 1 & tmpAnal$treatBin == 1,1,0)
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m.out <- matchit(formula = as.formula(paste("treatBin ~ ",paste(c(covariates,paste0(y,"16")),collapse = " + "))),
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data = tmpAnal,
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method = "full",
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distance = "mahalanobis")
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m.data <- match.data(m.out)
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W.out <- weightit(formula(paste0("treatBin ~ ",paste(c(covariates,paste0(y,"16")),collapse = " + "))),
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data = tmpAnal, estimand = "ATT", method = "cbps")
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test <- tryCatch(felm(as.formula(paste0('scale(',y,") ~ ",paste0("scale(",geo,d,")")," + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights),error = function(e) e)
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if(inherits(test,"error")) { next }
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basic.bin.plac <- c(basic.bin.plac,summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients['treat',1])
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basic.cont.plac <- c(basic.cont.plac,summary(felm(as.formula(paste0('scale(',y,") ~ scale(perm) + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients["scale(perm)",1])
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basic.did.plac <- c(basic.did.plac,summary(felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal))$coefficients["treatBin:post",1])
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matching.bin.plac <- c(matching.bin.plac,summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients['treat',1])
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matching.cont.plac <- c(matching.cont.plac,summary(felm(as.formula(paste0('scale(',y,") ~ scale(perm) + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients["scale(perm)",1])
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matching.did.plac <- c(matching.did.plac,
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summary(felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),m.data,weights = m.data$weights))$coefficients["treatBin:post",1])
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weighting.bin.plac <- c(weighting.bin.plac,summary(felm(as.formula(paste0('scale(',y,") ~ treat + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients['treat',1])
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weighting.cont.plac <- c(weighting.cont.plac,summary(felm(as.formula(paste0('scale(',y,") ~ scale(perm) + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients["scale(perm)",1])
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weighting.did.plac <- c(weighting.did.plac,summary(felm(as.formula(paste0('scale(',y,") ~ treatBin*post + ",paste(c(covariates,paste0(y,"16")),collapse = "+"),"| 0 | 0 | ",fe)),tmpAnal,weights = W.out$weights))$coefficients["treatBin:post",1])
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cat(".")
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}
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cat('\n')
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$plac$bin <- basic.bin.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$plac$cont <- basic.cont.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$basic$plac$did <- basic.did.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$plac$bin <- matching.bin.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$plac$cont <- matching.cont.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$matching$plac$did <- matching.did.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$plac$bin <- weighting.bin.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$plac$cont <- weighting.cont.plac
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resSI[[y]][[geo]][[d]][[fe]][[pre]][[post]]$felm$weighting$plac$did <- weighting.did.plac
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}
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}
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}
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}
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}
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cat(y," done\n")
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}
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save(resSI,file = paste0("../Data/Results/SI-data.RData"))
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