diff --git a/2_analysis/employment_shares/45_deg_plot_data.do b/2_analysis/employment_shares/45_deg_plot_data.do index b0bc16d4..e40e6ffb 100644 --- a/2_analysis/employment_shares/45_deg_plot_data.do +++ b/2_analysis/employment_shares/45_deg_plot_data.do @@ -24,7 +24,7 @@ use "`out'/riskshare_reg_data.dta", clear loc temp_cmd "_b[_cons] + _b[log_inc]*log_inc + _b[temp_poly1]*temp_poly1 + _b[temp_poly2]*temp_poly2 + _b[temp_poly3]*temp_poly3 + _b[temp_poly4]*temp_poly4" - predictnl yhat_lrtk = `temp_cmd', se(se_lrtk) ci(lowerci_lrtk upperci_lrtk) + predictnl yhat_lrtk = predict(), se(se_lrtk) ci(lowerci_lrtk upperci_lrtk) preserve @@ -43,7 +43,7 @@ use "`out'/riskshare_reg_data.dta", clear loc temp_cmd "_b[_cons] + _b[log_inc]*log_inc + _b[tavg_1_pop_ma_30yr]*tavg_1_pop_ma_30yr + _b[tavg_2_pop_ma_30yr]*tavg_2_pop_ma_30yr + _b[tavg_3_pop_ma_30yr]*tavg_3_pop_ma_30yr + _b[tavg_4_pop_ma_30yr]*tavg_4_pop_ma_30yr" - predictnl yhat_main = `temp_cmd', se(se_main) ci(lowerci_main upperci_main) + predictnl yhat_main = predict(), se(se_main) ci(lowerci_main upperci_main) * merge the two together to generate data for 45 deg plots preserve diff --git a/2_analysis/employment_shares/45_deg_plot_data_varying_FEs.do b/2_analysis/employment_shares/45_deg_plot_data_varying_FEs.do new file mode 100644 index 00000000..f87da1a1 --- /dev/null +++ b/2_analysis/employment_shares/45_deg_plot_data_varying_FEs.do @@ -0,0 +1,94 @@ +/* +The following code generates data to make a 45 deg plot of predicted values of yhat +LR(T^K) vs yhat LRT^K specifications + +Author: Jonah Gilbert, jonahmgilbert@uchicago.edu +Date: 7/12/2023 + +*/ + + +clear all +set more off +macro drop _all +set scheme s1color + +loc lab "/mnt/CIL_labor" +loc out "/home/`c(username)'/repos/labor-code-release-2020/output/employment_shares" +loc ster "`out'/ster" + +use "`out'/riskshare_reg_data.dta", clear + +* continent fe model predictions, save for merge later + estimates use "`ster'/log_inc_poly4_continent_fes" + + loc temp_cmd "_b[_cons] + _b[log_inc]*log_inc + _b[tavg_1_pop_ma_30yr]*tavg_1_pop_ma_30yr + _b[tavg_2_pop_ma_30yr]*tavg_2_pop_ma_30yr + _b[tavg_3_pop_ma_30yr]*tavg_3_pop_ma_30yr + _b[tavg_4_pop_ma_30yr]*tavg_4_pop_ma_30yr" + + predictnl yhat_continent_fes = predict(), se(se_continent_fes) ci(lowerci_continent_fes upperci_continent_fes) + + preserve + + keep geolev1 year log_inc tavg_1_pop_ma_30yr yhat_continent_fes se_continent_fes lowerci_continent_fes upperci_continent_fes + + tempfile continent_fes_file + save `continent_fes_file', replace + * export delimited "`out'/highriskshare_check/yhat_temp_lrtk.csv", replace + + restore + + +* continent, year model predictions, save for merge later + estimates use "`ster'/log_inc_poly4_continent_year_fes" + + loc temp_cmd "_b[_cons] + _b[log_inc]*log_inc + _b[tavg_1_pop_i.ma_30yr]*tavg_1_pop_ma_30yr + _b[tavg_2_pop_ma_30yr]*tavg_2_pop_ma_30yr + _b[tavg_3_pop_ma_30yr]*tavg_3_pop_ma_30yr + _b[tavg_4_pop_ma_30yr]*tavg_4_pop_ma_30yr" + + predictnl yhat_continent_year_fes = predict(), se(se_continent_year_fes) ci(lowerci_continent_year_fes upperci_continent_year_fes) + + preserve + + keep geolev1 year log_inc tavg_1_pop_ma_30yr yhat_continent_year_fes se_continent_year_fes lowerci_continent_year_fes upperci_continent_year_fes + + tempfile continent_year_fes_file + save `continent_year_fes_file', replace + * export delimited "`out'/highriskshare_check/yhat_temp_lrtk.csv", replace + + restore + +* year model predictions, save for merge later + estimates use "`ster'/log_inc_poly4_year_fes" + + loc temp_cmd "_b[_cons] +_b[year]*i.year + _b[log_inc]*log_inc + _b[tavg_1_pop_ma_30yr]*tavg_1_pop_ma_30yr + _b[tavg_2_pop_ma_30yr]*tavg_2_pop_ma_30yr + _b[tavg_3_pop_ma_30yr]*tavg_3_pop_ma_30yr + _b[tavg_4_pop_ma_30yr]*tavg_4_pop_ma_30yr" + + predictnl yhat_year_fes = predict(), se(se_year_fes) ci(lowerci_year_fes upperci_year_fes) + + preserve + + keep geolev1 year log_inc tavg_1_pop_ma_30yr yhat_year_fes se_year_fes lowerci_year_fes upperci_year_fes + + tempfile year_fes_file + save `year_fes_file', replace + * export delimited "`out'/highriskshare_check/yhat_temp_lrtk.csv", replace + + restore + +* main model predictions, change the _b coefficients and temp poly varnames + + estimates use "`ster'/log_inc_poly4" + + loc temp_cmd "_b[_cons] + _b[log_inc]*log_inc + _b[tavg_1_pop_ma_30yr]*tavg_1_pop_ma_30yr + _b[tavg_2_pop_ma_30yr]*tavg_2_pop_ma_30yr + _b[tavg_3_pop_ma_30yr]*tavg_3_pop_ma_30yr + _b[tavg_4_pop_ma_30yr]*tavg_4_pop_ma_30yr" + + predictnl yhat_main = predict(), se(se_main) ci(lowerci_main upperci_main) + +* merge the two together to generate data for 45 deg plots + preserve + + keep geolev1 year log_inc tavg_1_pop_ma_30yr yhat_main se_main lowerci_main upperci_main + + merge 1:1 geolev1 year using `continent_fes_file', nogen + merge 1:1 geolev1 year using `continent_year_fes_file', nogen + merge 1:1 geolev1 year using `year_fes_file' + drop _m + + export delimited "`out'/yhat_values/45_deg_plot_continent_fes.csv", replace + + restore \ No newline at end of file diff --git a/2_analysis/employment_shares/45_deg_plots.R b/2_analysis/employment_shares/45_deg_plots.R index dcb10b50..6ea0504f 100644 --- a/2_analysis/employment_shares/45_deg_plots.R +++ b/2_analysis/employment_shares/45_deg_plots.R @@ -1,7 +1,7 @@ rm(list=ls()) library(tidyverse) library(glue) -library(cilpath.r) +#library(cilpath.r) library(lfe) library(sf) library(rgdal) @@ -11,9 +11,9 @@ library(gridExtra) library(numbers) library(cowplot) -cilpath.r:::cilpath() +#cilpath.r:::cilpath() -out = glue("/home/nsharma/repos/labor-code-release-2020/output/employment_shares") # change username here +out = glue("/home/jonahmgilbert/repos/labor-code-release-2020/output/employment_shares") # change username here plot = read_csv(glue("{out}/yhat_values/45_deg_plot.csv")) %>% rename(temp = tavg_1_pop_ma_30yr) @@ -35,7 +35,7 @@ plot2 <- ggplot() + xlab("predicted riskshare values- LR(T^K)") + ylab("predicted riskshare values- LRT^K") + ylim(0,1) + xlim(0,1) -# combine line graph and histogram togther +# combine line graph and histogram together theme_set(theme_minimal()) p <- plot_grid( diff --git a/2_analysis/employment_shares/45_deg_plots_continent_fes.R b/2_analysis/employment_shares/45_deg_plots_continent_fes.R new file mode 100644 index 00000000..7232626a --- /dev/null +++ b/2_analysis/employment_shares/45_deg_plots_continent_fes.R @@ -0,0 +1,62 @@ +rm(list=ls()) +library(tidyverse) +library(glue) +#library(cilpath.r) +library(lfe) +library(sf) +library(rgdal) +library(testthat) +library(grid) +library(gridExtra) +library(numbers) +library(cowplot) + +#cilpath.r:::cilpath() + +out = glue("/home/jonahmgilbert/repos/labor-code-release-2020/output/employment_shares") # change username here + +plot = read_csv(glue("{out}/yhat_values/45_deg_plot_continent_fes.csv")) %>% + rename(temp = tavg_1_pop_ma_30yr) + +plot = plot %>% filter(complete.cases(plot)) # writing filter separately as it won't work in loading data above + +# temperature prediction with global min of -27˚C and global max of 43˚C and no continent fixed effect +plot1 <- ggplot() + + geom_point(data = plot, aes(x= yhat_main, y= yhat_continent_fes, + colour = log_inc)) + + geom_line(data = plot, aes(x = yhat_continent_fes, y = yhat_continent_fes), colour = "red") + labs(colour = "Log GDP PC") + + xlab("predicted riskshare values- main model") + ylab("continent FEs") + + ylim(0,1) + xlim(0,1) + theme(axis.title.x = element_blank()) + +plot2 <- ggplot() + + geom_point(data = plot, aes(x= yhat_main, y= yhat_continent_year_fes, + colour = log_inc)) + + geom_line(data = plot, aes(x = yhat_continent_fes, y = yhat_continent_fes), colour = "red") + labs(colour = "Log GDP PC") + + xlab("predicted riskshare values- main model") + ylab("continent and year FEs") + + ylim(0,1) + xlim(0,1) + theme(axis.title.x = element_blank()) + +plot3 <- ggplot() + + geom_point(data = plot, aes(x= yhat_main, y= yhat_year_fes, + colour = log_inc)) + + geom_line(data = plot, aes(x = yhat_continent_fes, y = yhat_continent_fes), colour = "red") + labs(colour = "Log GDP PC") + + xlab("predicted riskshare values- main model") + ylab("year FEs") + + ylim(0,1) + xlim(0,1) + +# combine line graph and histogram together +theme_set(theme_minimal()) + +p <- plot_grid( + plot_grid( + plot1 + theme(legend.position = "none") + , plot2 + theme(legend.position = "none") + , plot3 + theme(legend.position = "none") + , ncol = 1 + , rel_heights = c(1,1) + , align = "hv") + , plot_grid( + get_legend(plot3) + , ncol =1) + , rel_widths = c(4,1) + ) + +ggsave(glue("{out}/plot/predictions/45_deg_shaded_varying_fes.pdf"), plot = p, width = 8, height = 16.5) diff --git a/2_analysis/employment_shares/riskshare_overlaid_scatter_yhat.R b/2_analysis/employment_shares/riskshare_overlaid_scatter_yhat.R index eed55ff3..79cd3a18 100644 --- a/2_analysis/employment_shares/riskshare_overlaid_scatter_yhat.R +++ b/2_analysis/employment_shares/riskshare_overlaid_scatter_yhat.R @@ -7,7 +7,7 @@ rm(list=ls()) library(tidyverse) library(glue) -library(cilpath.r) +#library(cilpath.r) library(lfe) library(sf) library(rgdal) @@ -15,12 +15,13 @@ library(testthat) library(grid) library(gridExtra) library(numbers) +library(stargazer) -cilpath.r:::cilpath() -source("~/repos/post-projection-tools/mapping/imgcat.R") #this redefines the way ggplot plots. +#cilpath.r:::cilpath() +#source("~/repos/post-projection-tools/mapping/imgcat.R") #this redefines the way ggplot plots. lab = glue("/mnt/CIL_labor") -out = glue("/home/nsharma/repos/labor-code-release-2020/output/employment_shares") # change username here +out = glue("/home/jonahmgilbert/repos/labor-code-release-2020/output/employment_shares") # change username here # load data and clean it up a little dat = read_csv(glue("{lab}/1_preparation/employment_shares/data/emp_inc_clim_merged.csv")) %>% @@ -55,23 +56,45 @@ dat_ss <- dat_ss[complete.cases(dat_ss),] # load data for graph yhat_inc = read_csv(glue("{out}/yhat_values/log_inc_poly4_IncPred.csv")) -yhat_temp = read_csv(glue("{out}/yhat_values/log_inc_poly4_TempPred.csv")) +yhat_temp = read_csv(glue("{out}/yhat_values/log_inc_poly4_TempPred.csv")) yhat_temp_poly4 = read_csv(glue("{out}/yhat_values/log_inc_poly4_TempPredMinMax.csv")) #change input filename here for 50C max temperature +yhat_inc$Model = "no Continent FE" +yhat_temp$Model = "no Continent FE" +yhat_temp_poly4$Model = "no Continent FE" + yhat_inc_continent_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_continent_fes_IncPred.csv")) yhat_temp_continent_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_continent_fes_TempPred.csv")) +yhat_inc_continent_fe$Model = "Continent FE" +yhat_temp_continent_fe$Model = "Continent FE" + +yhat_inc_continent_year_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_continent_year_fes_IncPred.csv")) +yhat_temp_continent_year_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_continent_year_fes_TempPredMinMax.csv")) +yhat_inc_continent_year_fe$Model = "Continent, Year FE" +yhat_temp_continent_year_fe$Model ="Continent, Year FE" + +yhat_inc_year_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_year_fes_IncPred.csv")) +yhat_temp_year_fe = read_csv(glue("{out}/yhat_values/log_inc_poly4_year_fes_TempPredMinMax.csv")) +yhat_inc_year_fe$Model = "Year FE" +yhat_temp_year_fe$Model = "Year FE" # graphs # temperature prediction with in-sample data limits temp_pred <- ggplot() + - geom_point(data = dat_ss, aes(x= tavg_1_pop_MA_30yr, y= ind_highrisk_share)) + + geom_point(data = dat_ss, aes(x= tavg_1_pop_MA_30yr, y= ind_highrisk_share), color = "lightblue") + geom_ribbon(data=yhat_temp,aes(x = temp, ymin = lowerci_hi, ymax = upperci_hi), inherit.aes = FALSE, alpha = 0.6, fill = "grey") + geom_line(data = yhat_temp, aes(x = temp, y = yhat, linetype= "no Continent FE")) + labs(colour = "Log GDP PC") + geom_ribbon(data=yhat_temp_continent_fe,aes(x = temp, ymin = lowerci_hi, ymax = upperci_hi), inherit.aes = FALSE, alpha = 0.6, fill = "grey") + - geom_line(data = yhat_temp_continent_fe, aes(x = temp, y = yhat, linetype= "Continent FE")) + - scale_linetype_manual("Model", values = c("no Continent FE" = 1, "Continent FE" = 2)) + labs(colour = "LRT") + + geom_line(data = yhat_temp_continent_fe, aes(x = temp, y = yhat, linetype= "Continent FE")) + + geom_ribbon(data=yhat_temp_continent_year_fe%>% filter(temp <= 29 & temp >=7),aes(x = temp, ymin = lowerci_hi, ymax = upperci_hi), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_temp_continent_year_fe%>% filter(temp <= 29 & temp >=7), aes(x = temp, y = yhat, linetype= "Continent, Year FE")) + + geom_ribbon(data=yhat_temp_year_fe%>% filter(temp <= 29 & temp >=7),aes(x = temp, ymin = lowerci_hi, ymax = upperci_hi), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_temp_year_fe %>% filter(temp <= 29 & temp >=7), aes(x = temp, y = yhat, linetype= "Year FE")) + + scale_linetype_manual("Model", values = c("no Continent FE" = 1, "Continent FE" = 2, "Continent, Year FE" = 3, "Year FE" = 4)) + labs(colour = "LRT") + xlab("LRT - in sample") + ylab("predicted riskshare values- LR(T^K)") temp_pred @@ -93,19 +116,57 @@ ggsave(glue("{out}/plot/predictions/temp_pred_scatter_min_max.pdf"), plot = temp # income predictions with in-sample min and max inc_pred <- ggplot() + geom_point(data = dat_ss, aes(x= log_gdppc_adm1_pwt_ds_15ma, y= ind_highrisk_share)) + + geom_density(data = dat_ss, aes(x= log_gdppc_adm1_pwt_ds_15ma, y = after_stat(count)/2000 - 0.25)) + geom_ribbon(data=yhat_inc,aes(x = inc_log, ymin = lowerci_hi, ymax = upperci_hi), inherit.aes = FALSE, alpha = 0.6, fill = "grey") + geom_line(data = yhat_inc, aes(x= inc_log, y= yhat, linetype= "no Continent FE")) + labs(colour = "LRT") + geom_ribbon(data=yhat_inc_continent_fe,aes(x = inc_log, ymin = lowerci_hi, ymax = upperci_hi), inherit.aes = FALSE, alpha = 0.6, fill = "grey") + geom_line(data = yhat_inc_continent_fe, aes(x= inc_log, y= yhat, linetype= "Continent FE")) + - scale_linetype_manual("Model", values = c("no Continent FE" = 1, "Continent FE" = 2)) + labs(colour = "LRT") + - xlab("Log GDP PC") + ylab("predicted riskshare values") + geom_ribbon(data=yhat_inc_continent_year_fe,aes(x = inc_log, ymin = lowerci_hi, ymax = upperci_hi), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_inc_continent_year_fe, aes(x= inc_log, y= yhat, linetype= "Continent + Year FE")) + + geom_ribbon(data=yhat_inc_year_fe,aes(x = inc_log, ymin = lowerci_hi, ymax = upperci_hi), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_inc_year_fe, aes(x= inc_log, y= yhat, linetype= "Year FE")) + + scale_linetype_manual("Model", values = c("no Continent FE" = 1, "Continent FE" = 2, "Continent + Year FE" = 3, "Year FE" = 4)) + labs(colour = "LRT") + + xlab("Log GDP PC") + ylab("predicted riskshare values") inc_pred ggsave(glue("{out}/plot/predictions/inc_pred_continent_fe_scatter.pdf"), plot = inc_pred, width = 10, height = 7) + +# income predictions with in-sample min and max +inc_pred_main <- ggplot() + + geom_point(data = dat_ss, aes(x= log_gdppc_adm1_pwt_ds_15ma, y= ind_highrisk_share + 0.25), color = 'lightblue') + + geom_histogram(data = dat_ss, aes(x= log_gdppc_adm1_pwt_ds_15ma, y = ..count../sum(..count..)), fill = 'lightblue', bins = 20) + + geom_ribbon(data=yhat_inc,aes(x = inc_log, ymin = lowerci_hi + 0.25, ymax = upperci_hi + 0.25), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_inc, aes(x= inc_log, y= yhat + 0.25)) + labs(colour = "LRT") + + xlab("Log GDP PC") + ylab("predicted riskshare values") + + scale_y_continuous(labels = function(x) format(x-0.25), limits = c(0,1.3)) + +inc_pred_main + +ggsave(glue("{out}/plot/predictions/inc_pred_main.pdf"), plot = inc_pred_main, width = 10, height = 7) + + +# temperature prediction with in-sample data limits +temp_pred_main <- ggplot() + + geom_point(data = dat_ss, aes(x= tavg_1_pop_MA_30yr, y= ind_highrisk_share + 0.25), color = "lightblue") + + geom_histogram(data = dat_ss, aes(x= tavg_1_pop_MA_30yr, y = ..count../sum(..count..)), fill = 'lightblue', bins = 20) + + geom_ribbon(data=yhat_temp_poly4 %>% filter(between(temp,0,30)),aes(x = temp, ymin = lowerci_hi + 0.25, ymax = upperci_hi + 0.25), + inherit.aes = FALSE, alpha = 0.6, fill = "grey") + + geom_line(data = yhat_temp_poly4 %>% filter(between(temp,0,30)), aes(x = temp, y = yhat + 0.25)) + labs(colour = "Log GDP PC")+ labs(colour = "LRT") + + xlab("LRT - in sample") + ylab("predicted riskshare values- LR(T^K)")+ + scale_y_continuous(labels = function(x) format(x-0.25), limits = c(0,1.3)) + +temp_pred_main + + +ggsave(glue("{out}/plot/predictions/temp_pred_main_scatter.pdf"), plot = temp_pred_main, width = 10, height = 7) + # regressions for table fit1 = lm(ind_highrisk_share ~ tavg_1_pop_MA_30yr + tavg_2_pop_MA_30yr + @@ -115,17 +176,30 @@ summary(fit1) fit2 = lm(ind_highrisk_share ~ tavg_1_pop_MA_30yr + tavg_2_pop_MA_30yr + tavg_3_pop_MA_30yr + tavg_4_pop_MA_30yr + - log_gdppc_adm1_pwt_ds_15ma + factor(continent), data=dat) + log_gdppc_adm1_pwt_ds_15ma + relevel(factor(continent), ref = "Asia"), data=dat) summary(fit2) -stargazer(fit1, fit2, title = "Risk-share Regression Results", align=TRUE, - dep.var.caption = c("High risk share"), dep.var.labels = c(""), - column.labels = c("without continent FE", "with continent FE"), - covariate.labels = c("Temperature", "Temperature^2", "Temperature^3", - "Temperature^4", "Log Income", "Americas", - "Asia", "Europe", "Constant"), - add.lines = list(c("Continent fixed effects", "No", "Yes")), - omit.stat=c("ser","f"), no.space=TRUE) +fit3 = lm(ind_highrisk_share ~ tavg_1_pop_MA_30yr + tavg_2_pop_MA_30yr + + tavg_3_pop_MA_30yr + tavg_4_pop_MA_30yr + + log_gdppc_adm1_pwt_ds_15ma + relevel(factor(continent), ref = "Asia") + factor(year), data=dat) +summary(fit3) + +fit4 = lm(ind_highrisk_share ~ tavg_1_pop_MA_30yr + tavg_2_pop_MA_30yr + + tavg_3_pop_MA_30yr + tavg_4_pop_MA_30yr + + log_gdppc_adm1_pwt_ds_15ma + factor(year), data=dat) +summary(fit4) + +stargazer(fit1, fit2, fit3, fit4, title = "Risk-share Regression Results", align=TRUE, + dep.var.caption = c("Share of high-risk workers"), dep.var.labels = c(""), + covariate.labels = c("Long-run Avg. Daily Maximum Temperature", + "Long-run Avg. Daily Maximum Temperature^2", + "Long-run Avg. Daily Maximum Temperature^3", + "Long-run Avg. Daily Maximum Temperature^4", "Log Income", "Africa", + "Americas", "Europe", "Constant"), + add.lines = list(c("Continent fixed effects", "No", "Yes", "Yes", "No"),c("Year fixed effects", "No", "No", "Yes", "Yes")), + omit.stat=c("ser","f", "rsq"), + omit = "year", + no.space=TRUE) diff --git a/2_analysis/employment_shares/riskshare_yhat_values.do b/2_analysis/employment_shares/riskshare_yhat_values.do index eb442302..b07eac6e 100644 --- a/2_analysis/employment_shares/riskshare_yhat_values.do +++ b/2_analysis/employment_shares/riskshare_yhat_values.do @@ -76,7 +76,7 @@ gen temp_poly4 = tavg_1_pop_ma_30yr^4 save "`out'/riskshare_reg_data.dta", replace -foreach spec in 1 2 3 4{ +foreach spec in 1 2 3 4 5 6 7 8{ if `spec' == 1 { reghdfe ind_highrisk_share log_inc tavg_1_pop_ma_30yr tavg_2_pop_ma_30yr tavg_3_pop_ma_30yr tavg_4_pop_ma_30yr, noabsorb residuals(resid_`spec') @@ -99,8 +99,29 @@ if `spec' == 4 { reghdfe ind_highrisk_share log_inc temp_poly1 temp_poly2 temp_poly3 temp_poly4 ib3.continent_code, noabsorb residuals(resid_`spec') loc saveas "log_inc_lrtk_continent_fes" } + +if `spec' == 5 { + reghdfe ind_highrisk_share log_inc temp_poly1 temp_poly2 temp_poly3 temp_poly4 ib3.continent_code i.year, noabsorb residuals(resid_`spec') + loc saveas "log_inc_lrtk_continent_year_fes" + } + +if `spec' == 6 { + reghdfe ind_highrisk_share log_inc temp_poly1 temp_poly2 temp_poly3 temp_poly4 i.year, noabsorb residuals(resid_`spec') + loc saveas "log_inc_lrtk_year_fes" + } + +if `spec' == 7 { + reghdfe ind_highrisk_share log_inc tavg_1_pop_ma_30yr tavg_2_pop_ma_30yr tavg_3_pop_ma_30yr tavg_4_pop_ma_30yr ib3.continent_code i.year, noabsorb residuals(resid`spec') + loc saveas "log_inc_poly4_continent_year_fes" + } + +if `spec' == 8 { + reghdfe ind_highrisk_share log_inc tavg_1_pop_ma_30yr tavg_2_pop_ma_30yr tavg_3_pop_ma_30yr tavg_4_pop_ma_30yr i.year, noabsorb residuals(resid`spec') + loc saveas "log_inc_poly4_year_fes" + } - if inlist(`spec', 1, 2, 3, 4) { + + if inlist(`spec', 1, 2, 3, 4, 5, 6, 7, 8) { di "`out'/ster/" estimates save "`out'/ster/`saveas'.ster", replace } @@ -147,6 +168,22 @@ if `spec' == 4 { if `spec' == 4 { loc temp_cmd "_b[_cons] + _b[log_inc]*`log_inc' + _b[temp_poly1]*temp + _b[temp_poly2]*temp^2 + _b[temp_poly3]*temp^3 + _b[temp_poly4]*temp^4" } + + if `spec' == 5 { + loc temp_cmd "_b[_cons] + _b[log_inc]*`log_inc' + _b[temp_poly1]*temp + _b[temp_poly2]*temp^2 + _b[temp_poly3]*temp^3 + _b[temp_poly4]*temp^4" + } + + if `spec' == 6 { + loc temp_cmd "_b[_cons] + _b[log_inc]*`log_inc' + _b[temp_poly1]*temp + _b[temp_poly2]*temp^2 + _b[temp_poly3]*temp^3 + _b[temp_poly4]*temp^4" + } + + if `spec' == 7 { + loc temp_cmd "_b[_cons] + _b[log_inc]*`log_inc' + _b[tavg_1_pop_ma_30yr]*temp + _b[tavg_2_pop_ma_30yr]*temp^2 + _b[tavg_3_pop_ma_30yr]*temp^3 + _b[tavg_4_pop_ma_30yr]*temp^4" + } + + if `spec' == 8 { + loc temp_cmd "_b[_cons] + _b[log_inc]*`log_inc' + _b[tavg_1_pop_ma_30yr]*temp + _b[tavg_2_pop_ma_30yr]*temp^2 + _b[tavg_3_pop_ma_30yr]*temp^3 + _b[tavg_4_pop_ma_30yr]*temp^4" + } predictnl yhat = `temp_cmd', se(se_hi) ci(lowerci_hi upperci_hi) keep temp yhat se_hi lowerci_hi upperci_hi @@ -200,6 +237,26 @@ if `spec' == 4 { loc inc_var inc_log } + if `spec' == 5 { + loc inc_cmd "_b[_cons] + _b[log_inc]*inc_log + _b[temp_poly1]*`temp1' + _b[temp_poly2]*`temp2' + _b[temp_poly3]*`temp3' + _b[temp_poly4]*`temp4'" + loc inc_var inc_log + } + + if `spec' == 6 { + loc inc_cmd "_b[_cons] + _b[log_inc]*inc_log + _b[temp_poly1]*`temp1' + _b[temp_poly2]*`temp2' + _b[temp_poly3]*`temp3' + _b[temp_poly4]*`temp4'" + loc inc_var inc_log + } + + if `spec' == 7 { + loc inc_cmd "_b[_cons] + _b[log_inc]*inc_log + _b[tavg_1_pop_ma_30yr]*`tavg1' + _b[tavg_2_pop_ma_30yr]*`tavg2' + _b[tavg_3_pop_ma_30yr]*`tavg3' + _b[tavg_4_pop_ma_30yr]*`tavg4'" + loc inc_var inc_log + } + + if `spec' == 8 { + loc inc_cmd "_b[_cons] + _b[log_inc]*inc_log + _b[tavg_1_pop_ma_30yr]*`tavg1' + _b[tavg_2_pop_ma_30yr]*`tavg2' + _b[tavg_3_pop_ma_30yr]*`tavg3' + _b[tavg_4_pop_ma_30yr]*`tavg4'" + loc inc_var inc_log + } + predictnl yhat = `inc_cmd', se(se_hi) ci(lowerci_hi upperci_hi) keep inc_log yhat se_hi lowerci_hi upperci_hi diff --git a/output/employment_shares/plot/predictions/45_deg_shaded.pdf b/output/employment_shares/plot/predictions/45_deg_shaded.pdf index 1ad979dc..8faa0398 100644 Binary files a/output/employment_shares/plot/predictions/45_deg_shaded.pdf and b/output/employment_shares/plot/predictions/45_deg_shaded.pdf differ diff --git a/output/employment_shares/plot/predictions/45_deg_shaded_varying_fes.pdf b/output/employment_shares/plot/predictions/45_deg_shaded_varying_fes.pdf new file mode 100644 index 00000000..e477b8ce Binary files /dev/null and b/output/employment_shares/plot/predictions/45_deg_shaded_varying_fes.pdf differ diff --git a/output/employment_shares/plot/predictions/inc_pred_continent_fe_scatter.pdf b/output/employment_shares/plot/predictions/inc_pred_continent_fe_scatter.pdf index 45bc162d..684cacd4 100644 Binary files a/output/employment_shares/plot/predictions/inc_pred_continent_fe_scatter.pdf and b/output/employment_shares/plot/predictions/inc_pred_continent_fe_scatter.pdf differ diff --git a/output/employment_shares/plot/predictions/inc_pred_main.pdf b/output/employment_shares/plot/predictions/inc_pred_main.pdf new file mode 100644 index 00000000..e69cf859 Binary files /dev/null and b/output/employment_shares/plot/predictions/inc_pred_main.pdf differ diff --git a/output/employment_shares/plot/predictions/temp_pred_continent_fe_scatter.pdf b/output/employment_shares/plot/predictions/temp_pred_continent_fe_scatter.pdf index 0e8f4519..26231b9f 100644 Binary files a/output/employment_shares/plot/predictions/temp_pred_continent_fe_scatter.pdf and b/output/employment_shares/plot/predictions/temp_pred_continent_fe_scatter.pdf differ diff --git a/output/employment_shares/plot/predictions/temp_pred_main_scatter.pdf 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Binary files a/output/employment_shares/ster/log_inc_lrtk.ster and b/output/employment_shares/ster/log_inc_lrtk.ster differ diff --git a/output/employment_shares/ster/log_inc_lrtk_continent_fes.ster b/output/employment_shares/ster/log_inc_lrtk_continent_fes.ster index 022c6d5b..6f01c9b7 100644 Binary files a/output/employment_shares/ster/log_inc_lrtk_continent_fes.ster and b/output/employment_shares/ster/log_inc_lrtk_continent_fes.ster differ diff --git a/output/employment_shares/ster/log_inc_lrtk_continent_year_fes.ster b/output/employment_shares/ster/log_inc_lrtk_continent_year_fes.ster new file mode 100644 index 00000000..0b9ff238 Binary files /dev/null and b/output/employment_shares/ster/log_inc_lrtk_continent_year_fes.ster differ diff --git a/output/employment_shares/ster/log_inc_lrtk_year_fes.ster b/output/employment_shares/ster/log_inc_lrtk_year_fes.ster new file mode 100644 index 00000000..9717ce89 Binary files /dev/null and b/output/employment_shares/ster/log_inc_lrtk_year_fes.ster differ diff --git a/output/employment_shares/ster/log_inc_poly4.ster b/output/employment_shares/ster/log_inc_poly4.ster index 7e796667..9fe34b74 100644 Binary files a/output/employment_shares/ster/log_inc_poly4.ster and b/output/employment_shares/ster/log_inc_poly4.ster differ diff --git a/output/employment_shares/ster/log_inc_poly4_continent_fes.ster b/output/employment_shares/ster/log_inc_poly4_continent_fes.ster index b3be3204..897249ef 100644 Binary files a/output/employment_shares/ster/log_inc_poly4_continent_fes.ster and b/output/employment_shares/ster/log_inc_poly4_continent_fes.ster differ diff --git a/output/employment_shares/ster/log_inc_poly4_continent_year_fes.ster b/output/employment_shares/ster/log_inc_poly4_continent_year_fes.ster new file mode 100644 index 00000000..7e2e9ce9 Binary files /dev/null and b/output/employment_shares/ster/log_inc_poly4_continent_year_fes.ster differ diff --git a/output/employment_shares/ster/log_inc_poly4_year_fes.ster b/output/employment_shares/ster/log_inc_poly4_year_fes.ster new file mode 100644 index 00000000..59cfe83f Binary files /dev/null and b/output/employment_shares/ster/log_inc_poly4_year_fes.ster differ diff --git a/output/employment_shares/yhat_values/45_deg_plot_continent_fes.csv b/output/employment_shares/yhat_values/45_deg_plot_continent_fes.csv new file mode 100644 index 00000000..9f254e90 --- /dev/null +++ b/output/employment_shares/yhat_values/45_deg_plot_continent_fes.csv @@ -0,0 +1,1538 @@ +year,geolev1,log_inc,tavg_1_pop_ma_30yr,yhat_main,se_main,lowerci_main,upperci_main,yhat_continent_fes,se_continent_fes,lowerci_continent_fes,upperci_continent_fes,yhat_continent_year_fes,se_continent_year_fes,lowerci_continent_year_fes,upperci_continent_year_fes,yhat_year_fes,se_year_fes,lowerci_year_fes,upperci_year_fes 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