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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(tidyverse)
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| require(stargazer)
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| require(gridExtra)
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| require(ggridges)
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| require(ggrepel)
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|
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| rm(list = ls())
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| gc()
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| load('../Data/primary_data.RData')
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| summary(mVScaseEXT <- felm(voteSh ~ extreme*log(casesSum+1) | stcd | 0 | stcd,toAnal))
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| summary(mVScaseJST <- felm(voteSh ~ justice*log(casesSum+1) | stcd | 0 | stcd,toAnal))
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| summary(mVScaseTEA <- felm(voteSh ~ tea*log(casesSum+1) | stcd | 0 | stcd,toAnal))
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|
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| summary(mVSdthEXT <- felm(voteSh ~ extreme*log(deathsSum+1) | stcd | 0 | stcd,toAnal))
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| summary(mVSdthJST <- felm(voteSh ~ justice*log(deathsSum+1) | stcd | 0 | stcd,toAnal))
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| summary(mVSdthTEA <- felm(voteSh ~ tea*log(deathsSum+1) | stcd | 0 | stcd,toAnal))
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| summary(mVTcaseEXT <- felm(log(votes+1) ~ extreme*log(casesSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| summary(mVTcaseJST <- felm(log(votes+1) ~ justice*log(casesSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| summary(mVTcaseTEA <- felm(log(votes+1) ~ tea*log(casesSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| summary(mVTdthEXT <- felm(log(votes+1) ~ extreme*log(deathsSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| summary(mVTdthJST <- felm(log(votes+1) ~ justice*log(deathsSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| summary(mVTdthTEA <- felm(log(votes+1) ~ tea*log(deathsSum+1) + log(totVotes+1) | stcd | 0 | stcd,toAnal %>% filter(votes != 0)))
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| regs <- list()
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| for(m in objects(pattern = '^mVScase')) {
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| regs[[m]] <- get(m)
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| rownames(regs[[m]]$coefficients) <- rownames(regs[[m]]$beta) <- gsub(':',' X ',
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| gsub('tea|justice|extreme','Anti-Est.',
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| gsub('log\\(deathsSum \\+ 1\\)','Deaths (ln)',
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| gsub('log\\(casesSum \\+ 1\\)','Cases (ln)',
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| gsub('log\\(totVotes \\+ 1\\)','Total Votes (ln)',rownames(regs[[m]]$coefficients))))))
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| }
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| stargazer(regs,keep.stat = c('n','rsq'),
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| star.char = c('\\dag','*','**','***'),
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| star.cutoffs = c(.1,.05,.01,.001),
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| add.lines = list(c('District FE','Y','Y','Y','Y')), out = '../Tables/table3.tex')
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| toplot <- toAnal %>%
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| filter(date < as.Date('2020-11-01'),
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| votes > 0)
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| toplot$lab <- NA
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| for(d in unique(toplot$date)) {
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| toplot$lab[which(toplot$date == d)] <- paste(unique(toplot$stab[which(toplot$date == d)]),collapse = '\n')
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| }
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| p1 <- toplot %>%
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| ggplot(aes(x = date,y = voteSh,color = factor(extreme),size = casesSum,weight = log(casesSum+1),
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| alpha = factor(extreme),
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| label = lab)) +
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| geom_jitter(width = 0) +
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| geom_smooth(method = 'lm') +
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| geom_text(data = toplot %>%
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| group_by(date) %>%
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| slice(1) %>%
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| filter(!stab %in% c('HI','TN')) %>%
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| ungroup() %>%
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| mutate(voteSh = 1.01,
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| date = date - 3),
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| size = 2.5,hjust = 0,vjust = 0,color = 'black',alpha = .8) +
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| theme_ridges() +
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| scale_color_manual(name = 'Type',values = c(`0` = 'grey60',`1` = 'black'),label = c('Mainstream','Extreme')) +
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| scale_alpha_manual(guide = F,values = c(`0` = .15,`1` = .6)) +
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| scale_size_continuous(guide = F) +
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| xlab('Date') + ylab('Vote Share') +
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| scale_y_continuous(breaks = seq(0,1,by = .25),limits = c(0,1.25)) +
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| theme(legend.position = 'bottom')
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| p2 <- toplot %>%
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| ggplot(aes(x = log(casesSum+1),y = voteSh,color = factor(extreme))) +
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| geom_jitter(alpha = .2,width = .2) +
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| geom_smooth(method = 'lm') +
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| theme_ridges() +
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| scale_color_manual(name = 'Type',values = c(`0` = 'grey60',`1` = 'black'),label = c('Mainstream','Extreme')) +
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| scale_alpha_manual(guide = F,values = c(`0` = .15,`1` = .6)) +
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| scale_size_continuous(guide = F) +
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| xlab('Logged Cases') + ylab('Vote Share') +
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| scale_y_continuous(breaks = seq(0,1,by = .25),limits = c(0,1.25)) +
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| theme(legend.position = 'bottom')
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| pdf('../Figures/SI_figure18.pdf',width = 12,height = 8)
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| grid.arrange(p1,p2,ncol = 2)
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| dev.off()
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|
