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37/paper.pdf

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37/replication_package/Do/Figures/.Rhistory

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+datafig_4_a_r_adj$b <- datafig_4_a_r$bY + datafig_4_a_r$bN
+datafig_4_a_r_adj$lb <- datafig_4_a_r$lb_bY + datafig_4_a_r$lb_bN
+datafig_4_a_r_adj$ub <- datafig_4_a_r$ub_bY + datafig_4_a_r$ub_bN
+datafig_4_a_r_adj$bN <- datafig_4_a_r$bNY + datafig_4_a_r$bNN
+datafig_4_a_r_adj$lbN <- datafig_4_a_r$lb_bNY + datafig_4_a_r$lb_bNN
+datafig_4_a_r_adj$ubN <- datafig_4_a_r$ub_bNY + datafig_4_a_r$ub_bNN
+datafig_4_a_r_adj<- datafig_4_a_r_adj[which(datafig_4_a_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_4_a_r_adj$group <- groups
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_4_a_r_adj$mylabs <- mylabs
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_4_a_r_adj$mylabs1 <- mylabs1
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Rich'),'t'] <- 'High Income'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Not Rich'),'t'] <- 'Low Income'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'
+#Plot
+RightPanel9 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+shape = 18, size = 2) +
+geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) +
+geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15,
+alpha = 0.5, size = 2) +
+geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+xlim(x_lb,x_upb) +
+xlab(label) +
+theme_light() +
+theme(
+axis.line=element_blank(), #Removing the axis
+panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+panel.grid.major.y = element_blank(),
+text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+axis.text = element_text(size = 10, colour = 'black'),
+panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+strip.background = element_blank(),
+strip.text.y = element_blank(),
+axis.title.y = element_blank(),
+### Add spacing for xlabel
+axis.ticks=element_blank(), #Removing the ticks
+panel.spacing.y = unit(0, "lines"),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.85,0),
+legend.title = element_blank(),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=11)),
+axis.ticks.x = element_blank()
+) +
+theme(legend.text=element_text(size=9)) +
+scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData9(datafig_4_a_l_adj, "Misperception (in % points)", -25, 30 , 5, "Non-immigrants", "Immigrants"),
+RightPanel9(datafig_4_a_r_adj, "Misperception (in % points)", -15, 15, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData9(datafig_4_a_l_adj, "Misperception (in % points)", -25, 30 , 5, "Non-immigrants", "Immigrants"),
+RightPanel9(datafig_4_a_r_adj, "Misperception (in % points)", -15, 15, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b'),
+"Figure_4_A.png")
+# Left Panel
+#Adjust Data
+datafig_4_b_l_adj = datafig_4_b_l[datafig_4_b_l$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(datafig_4_b_l) %in% "n")]
+LeftPanelAdjustedData9 = function(data_adj, label, x_lb, x_upb, distance_ticks,
+labelActual = "Natives", labelMean = "Immigrants"){
+p <- ggplot(data_adj, aes(x=t)) +
+## Plot segment joining and points
+geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+geom_segment(aes(x=t, xend=t, y=lb_nat, yend=ub_nat), size = 2, color = "#0080FF", alpha = 0.3) +
+geom_point(aes(x=t, y=m_nat, colour='Actual', shape = "Actual"), size=4) +
+geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+coord_flip()
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p +
+scale_y_continuous(limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+theme_light() +
+theme(
+## Control grid
+panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.4,0),
+legend.title = element_blank(),
+text = element_text(family = "LM Roman 10", color='black', size=10),
+axis.text = element_text(colour = 'black'),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=15)),
+axis.ticks.x = element_blank()
+) +
+theme(legend.text=element_text(size=9))+
+scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+xlab("") +
+ylab(label)
+p1}
+# Rigth Panel
+#Adjust Data
+## Load and Clean Data
+datafig_4_b_r[is.na(datafig_4_b_r)]<-0
+datafig_4_b_r_adj = datafig_4_b_r
+datafig_4_b_r_adj$b <- datafig_4_b_r$bY + datafig_4_b_r$bN
+datafig_4_b_r_adj$lb <- datafig_4_b_r$lb_bY + datafig_4_b_r$lb_bN
+datafig_4_b_r_adj$ub <- datafig_4_b_r$ub_bY + datafig_4_b_r$ub_bN
+datafig_4_b_r_adj$bN <- datafig_4_b_r$bNY + datafig_4_b_r$bNN
+datafig_4_b_r_adj$lbN <- datafig_4_b_r$lb_bNY + datafig_4_b_r$lb_bNN
+datafig_4_b_r_adj$ubN <- datafig_4_b_r$ub_bNY + datafig_4_b_r$ub_bNN
+datafig_4_b_r_adj<- datafig_4_b_r_adj[which(datafig_4_b_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_4_b_r_adj$group <- groups
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_4_b_r_adj$mylabs <- mylabs
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_4_b_r_adj$mylabs1 <- mylabs1
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Rich'),'t'] <- 'High Income'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Not Rich'),'t'] <- 'Low Income'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'
+#Plot
+RightPanel9 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+shape = 18, size = 2) +
+geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) +
+geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15,
+alpha = 0.5, size = 2) +
+geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+xlim(x_lb,x_upb) +
+xlab(label) +
+theme_light() +
+theme(
+axis.line=element_blank(), #Removing the axis
+panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+panel.grid.major.y = element_blank(),
+text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+axis.text = element_text(size = 10, colour = 'black'),
+panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+strip.background = element_blank(),
+strip.text.y = element_blank(),
+axis.title.y = element_blank(),
+### Add spacing for xlabel
+axis.ticks=element_blank(), #Removing the ticks
+panel.spacing.y = unit(0, "lines"),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.85,0),
+legend.title = element_blank(),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=11)),
+axis.ticks.x = element_blank()
+) +
+theme(legend.text=element_text(size=9)) +
+scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData9(datafig_4_b_l_adj, "Misperception (in % points)", 5, 35 , 5, "Non-immigrants", "Immigrants"),
+RightPanel9(datafig_4_b_r_adj, "Misperception (in % points)", 0, 35, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData9(datafig_4_b_l_adj, "Misperception (in % points)", 5, 35 , 5, "Non-immigrants", "Immigrants"),
+RightPanel9(datafig_4_b_r_adj, "Misperception (in % points)", 0, 35, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b'),
+"Figure_4_B.png")
+# Data adjustment for Left Panel: no rescaling needed
+datafig_5_a_l_adj = DataAdjustNoResc(datafig_5_a_l)
+# Generate Figure
+plot_grid(LeftPanelAdjustedData(datafig_5_a_l_adj, "Share of Respondents", 0.1, .5 , .1,
+"Alesina et al. (2018)", "Q on Imm."),
+RightPanelPercentage(datafig_5_a_r, "Share of Respondents", 0.2, 0.6, 0.1),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData(datafig_5_a_l_adj, "Share of Respondents", 0.1, .5 , .1,
+"Alesina et al. (2018)", "Q on Imm."),
+RightPanelPercentage(datafig_5_a_r, "Share of Respondents", 0.2, 0.6, 0.1),
+labels=NULL, ncol=2, align='h', axis='b'), "Figure_5_A.png")
+# Data Adjustment
+datafig_5_b_l_adj = DataAdjustNoResc(datafig_5_b_l)
+# Generate Figure
+plot_grid(LeftPanelAdjustedData(datafig_5_b_l_adj, "Share of Respondents", 0.15, .8 , .1,
+"Alesina et al. (2018)", "Q on Imm."),
+RightPanelPercentage(datafig_5_b_r, "Share of Respondents", 0.50, 0.8, 0.05),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData(datafig_5_b_l_adj, "Share of Respondents", 0.15, .8 , .1,
+"Alesina et al. (2018)", "Q on Imm."),
+RightPanelPercentage(datafig_5_b_r, "Share of Respondents", 0.50, 0.8, 0.05),
+labels=NULL, ncol=2, align='h', axis='b'), "Figure_5_B.png")
+# Left Panel
+##Data Adjustment (do not consider m_real as missing)
+datafig_6_a_l_adj = datafig_6_a_l[datafig_6_a_l$t %in% c("Sweden", "Germany", "Italy",
+"France", "UK", "US"), !names(datafig_6_a_l) %in% c("n","m_real")]
+datafig_6_a_l_adj$m_perc <- datafig_6_a_l_adj$m_perc
+datafig_6_a_l_adj <- transform(datafig_6_a_l_adj,
+lbound = lb_perc,
+ubound = ub_perc)
+##Graph
+LeftPanel_NoActual = function(data_adj, label, xlb, xupb, distance_ticks){
+p <- ggplot(data_adj, aes(x=t)) +
+## Plot segment joining and points
+geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+coord_flip()
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p +
+scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0),
+limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+theme_light() +
+theme(
+## Control grid
+panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+## Control legend
+legend.position = "none",
+legend.box = "horizontal",
+legend.justification = c(0.5,0),
+legend.title = element_blank(),
+text = element_text(family = "LM Roman 10", color='black', size=10),
+axis.text = element_text(colour = 'black'),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=15)),
+axis.ticks.x = element_blank()) +
+theme(legend.text=element_text(size=9))+
+scale_colour_manual(name = "", labels = 'Perceived (mean)', values =rgb(0.7,0.2,0.1,1)) +
+scale_shape_manual(name = "", labels = c('Perceived (mean)'), values = 15) +
+xlab("") +
+ylab(label)
+p1}
+# Generate Figure
+plot_grid(LeftPanel_NoActual(datafig_6_a_l_adj, "Share of Respondents", 0.05, 0.3, 0.05) ,
+RightPanelPercentage(datafig_6_a_r, "Share of Respondents", 0.05, 0.25, 0.05),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanel_NoActual(datafig_6_a_l_adj, "Share of Respondents", 0.05, 0.3, 0.05) ,
+RightPanelPercentage(datafig_6_a_r, "Share of Respondents", 0.05, 0.25, 0.05),
+labels=NULL, ncol=2, align='h', axis='b'), "Figure_6_A.png")
+# Left Panel
+##Data Adjustment (do not consider m_real as missing)
+datafig_6_b_l_adj = datafig_6_b_l[datafig_6_b_l$t %in% c("Sweden", "Germany", "Italy",
+"France", "UK", "US"), !names(datafig_6_b_l) %in% c("n","m_real")]
+datafig_6_b_l_adj$m_perc <- datafig_6_b_l_adj$m_perc
+datafig_6_b_l_adj <- transform(datafig_6_b_l_adj,
+lbound = lb_perc,
+ubound = ub_perc)
+##Graph
+LeftPanel_NoActual = function(data_adj, label, xlb, xupb, distance_ticks){
+p <- ggplot(data_adj, aes(x=t)) +
+## Plot segment joining and points
+geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+coord_flip()
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p +
+scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0),
+limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+theme_light() +
+theme(
+## Control grid
+panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+## Control legend
+legend.position = "none",
+legend.box = "horizontal",
+legend.justification = c(0.5,0),
+legend.title = element_blank(),
+text = element_text(family = "LM Roman 10", color='black', size=11),
+axis.text = element_text(colour = 'black'),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=15)),
+axis.ticks.x = element_blank(),
+) +
+theme(legend.text=element_text(size=9))+
+scale_colour_manual(name = "", labels = 'Perceived (mean)', values =rgb(0.7,0.2,0.1,1)) +
+scale_shape_manual(name = "", labels = c('Perceived (mean)'), values = 15) +
+xlab("") +
+ylab(label)
+p1}
+# Generate Figure
+plot_grid(LeftPanel_NoActual(datafig_6_b_l_adj, "Share of Respondents", 0, 0.4, 0.1) ,
+RightPanelPercentage(datafig_6_b_r, "Share of Respondents", 0.1, 0.4, 0.05),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanel_NoActual(datafig_6_b_l_adj, "Share of Respondents", 0, 0.4, 0.1) ,
+RightPanelPercentage(datafig_6_b_r, "Share of Respondents", 0.1, 0.4, 0.05),
+labels=NULL, ncol=2, align='h', axis='b'), "Figure_6_B.png")
+# Left Panel
+#Adjust Data
+datafig_7_l_adj = datafig_7_l[datafig_7_l$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(datafig_7_l) %in% "n")]
+LeftPanelAdjustedData12 = function(data_adj, label, x_lb, x_upb, distance_ticks,
+labelActual = "Natives", labelMean = "Immigrants"){
+p <- ggplot(data_adj, aes(x=t)) +
+## Plot segment joining and points
+geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+geom_segment(aes(x=t, xend=t, y=lb_nat, yend=ub_nat), size = 2, color = "#0080FF", alpha = 0.3) +
+geom_point(aes(x=t, y=m_nat, colour='Actual', shape = "Actual"), size=4) +
+geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+coord_flip()
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p +
+scale_y_continuous(limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+theme_light() +
+theme(
+## Control grid
+panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.3,0),
+legend.title = element_blank(),
+text = element_text(family = "LM Roman 10", color='black', size=10),
+axis.text = element_text(colour = 'black'),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=15)),
+axis.ticks.x = element_blank()
+) +
+theme(legend.text=element_text(size=9))+
+scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+xlab("") +
+ylab(label)
+p1}
+# Rigth Panel
+#Adjust Data
+## Load and clean data
+datafig_7_r[is.na(datafig_7_r)]<-0
+datafig_7_r_adj = datafig_7_r
+datafig_7_r_adj$b <- datafig_7_r$bY + datafig_7_r$bN
+datafig_7_r_adj$lb <- datafig_7_r$lb_bY + datafig_7_r$lb_bN
+datafig_7_r_adj$ub <- datafig_7_r$ub_bY + datafig_7_r$ub_bN
+datafig_7_r_adj$bN <- datafig_7_r$bNY + datafig_7_r$bNN
+datafig_7_r_adj$lbN <- datafig_7_r$lb_bNY + datafig_7_r$lb_bNN
+datafig_7_r_adj$ubN <- datafig_7_r$ub_bNY + datafig_7_r$ub_bNN
+datafig_7_r_adj<- datafig_7_r_adj[which(datafig_7_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_7_r_adj$group <- groups
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_7_r_adj$mylabs <- mylabs
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_7_r_adj$mylabs1 <- mylabs1
+datafig_7_r_adj[which(datafig_7_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Rich'),'t'] <- 'High Income'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Not Rich'),'t'] <- 'Low Income'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'
+#Plot
+RightPanel12 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+shape = 18, size = 2) +
+geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) +
+geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15,
+alpha = 0.5, size = 2) +
+geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+xlim(x_lb,x_upb) +
+xlab(label) +
+theme_light() +
+theme(
+axis.line=element_blank(), #Removing the axis
+panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+panel.grid.major.y = element_blank(),
+text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+axis.text = element_text(size = 9, colour = 'black'),
+panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+strip.background = element_blank(),
+axis.text.y = element_text(size=9),
+axis.title.y = element_blank(),
+### Add spacing for xlabel
+axis.title.x = element_text(size = 9, margin = margin(t=13)),
+axis.ticks=element_blank(), #Removing the ticks
+panel.spacing.y = unit(0, "lines"),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.65,0),
+#panel.border = element_blank(),
+legend.title = element_blank()
+) +
+theme(legend.text=element_text(size=9)) +
+scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData12(datafig_7_l_adj, "Misperception (in % points)", -10, 30 , 10, "Non-immigrants", "Immigrants"),
+RightPanel12(datafig_7_r_adj, "Misperception (in % points)", 0, 20, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData12(datafig_7_l_adj, "Misperception (in % points)", -10, 30 , 10, "Non-immigrants", "Immigrants"),
+RightPanel12(datafig_7_r_adj, "Misperception (in % points)", 0, 20, "Non-immigrants", "Immigrants"),
+labels=NULL, ncol=2, align='h', axis='b'),
+"Figure_7.png")
+knitr::opts_chunk$set(echo = F, warning = F, message = F)
+# Importing Packages
+rm(list=ls())
+gc()
+library(tidyverse)
+library(extrafont)
+library(gtable)
+library(ggplot2)
+library(gridExtra)
+library(grid)
+library(cowplot)
+library(grDevices)
+loadfonts()
+# SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+setwd("C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing_v2")
+# IMPORTING DATASET
+datafig_second_gen = read_csv('Out/Figures_data/figure_9_data.csv', show_col_types = FALSE)
+# Function to Export Figures: SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+FigureExporter = function(Figure, Name, WhereFolderDraft = "C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing_v2"){
+figure_name <- Name
+figures_dir <- file.path(WhereFolderDraft, 'Out/Figures')
+fig_path <- file.path(figures_dir, figure_name)
+png(fig_path, width = 4800, height=2700, res = 720, type = c("cairo-png"))
+Figure1 = Figure
+print(Figure1)
+}
+#Data Adjustment for cleaning (Left Panel) Function - Without Rescaling
+DataAdjustNoResc = function(data){
+data = data[data$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(data) %in% "n")]
+data$m_perc <- data$m_perc
+data$m_real <- data$m_real
+data <- transform(data,
+lbound = lb_perc,
+ubound = ub_perc)
+diff <- data %>%
+mutate(Max = max(m_perc, m_real),
+Min = min(m_perc, m_real),
+Diff = Max / Min - 1) %>%
+arrange(desc(Diff))
+## Create difference between perception and real
+data$diff <- (data$m_perc - data$m_real)/data$m_real
+data_adj = data
+data_adj
+}
+# Data adjustment: rescaling not needed
+datafig_second_gen_adj = DataAdjustNoResc(datafig_second_gen)
+# Function to generate the graph
+Left_10_B = function(xlb, xupb, distance_ticks){
+data = datafig_second_gen_adj
+p <- ggplot(data, aes(x=t)) +
+## Plot segment joining and points
+geom_segment(aes(x=t, xend=t, y=m_real, yend=m_perc), size = 0.4, color="black") +
+geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+geom_point(aes(x=t, y=m_real_2, colour= 'Act. 1 & 2 Gen.', shape = 'Act. 1 & 2 Gen.'), size=4) +
+geom_point(aes(x=t, y=m_real, colour='Act. 1 Gen.', shape = 'Act. 1 Gen.'), size=4) +
+geom_point(aes(x=t, y=m_perc, colour='Perceived (mean)', shape = 'Perceived (mean)'), size=3) +
+coord_flip()
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p +
+scale_y_continuous(limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+theme_light() +
+theme(
+## Control grid
+panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+## Control legend
+legend.position = "bottom",
+legend.box = "horizontal",
+legend.justification = c(0.5,0),
+legend.title = element_blank(),
+text = element_text(family = "LM Roman 10", color='black', size=11),
+axis.text = element_text(colour = 'black'),
+axis.text.x = element_text(size=9),
+axis.text.y = element_text(size=9),
+axis.title.x = element_text(size = 9, margin = margin(t=15)),
+axis.ticks.x = element_blank()
+) +
+scale_colour_manual(name = "", labels = c( "Act. 1 & 2 Gen.", 'Act. 1 Gen.','Perceived (mean)'),
+values = c("Act. 1 & 2 Gen." = "#1A476F", 'Act. 1 Gen.' = "#0080FF",
+'Perceived (mean)' = rgb(0.7,0.2,0.1,1))) +
+scale_shape_manual(name = "", labels = c("Act. 1 & 2 Gen.",'Act. 1 Gen.',  'Perceived (mean)'),
+values = c( "Act. 1 & 2 Gen." = 20, 'Act. 1 Gen.' = 18, 'Perceived (mean)' = 15)) +
+xlab("") +
+ylab("Share of Immigrants") +
+guides(col = guide_legend(nrow=2,byrow=TRUE))
+p1}
+# Generate Figure
+plot_grid(Left_10_B(0, 40, 5), labels=NULL, ncol=2, align='h', axis='b')
+# Export
+FigureExporter(plot_grid(Left_10_B(0, 40, 5), labels=NULL, ncol=2, align='h', axis='b'), "Figure_9.png")

37/replication_package/Do/Figures/Fig10.do

@@ -0,0 +1,339 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* Figure 10
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+
+global outdir "Out/Figures"
+
+* Load the data
+
+use "Data/survey_analysis.dta", clear
+
+* Countries included in the analysis
+global countries "US UK DE FR IT SE"
+
+
+* Generate flags - To ensure answers quality
+gen flag_1=0
+gen flag_2=0
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+* Drop respondents that have spent too little or too much time (bottom/top 2%)
+
+keep if flag_1==0 & flag_2==0
+
+*Drop variable used to exclude inattentive respondents
+drop flag_1 flag_2 min_duration max_duration
+
+* Add data on actual natives and immigrants statistics and generate misperceptions *
+
+do "Do/misperceptions.do"
+
+* Gen additional variables entering the indices *
+
+* Dummy = 1 if Mohammad receives more on net from the state (either receives more transfers and pays same or less taxes or receives same transfers but pays less taxes)
+gen moh_more=(Moh_transfers<3 & Moh_tax>2)
+replace moh_more=1 if Moh_transfers==3 & Moh_tax>3
+replace moh_more=. if Moh_tax==. | Moh_transfers==.
+la var moh_more "Mohammad receives more transfers and/or pay less taxes than John"
+label val moh_more binary
+
+* Transfers
+gen imm_tra_more=(transfers_imm==10 |transfers_imm==11 |transfers_imm==12 |transfers_imm==13)
+la var imm_tra_more "Immigrants receive more government transfers than natives"
+replace imm_tra_more=. if transfers_imm==.
+label val imm_tra_more binary
+
+* Immigration is not a problem
+gen imm_not_problem=(q_imm_problem==16 | q_imm_problem==17)
+replace imm_not_problem=. if q_imm_problem==.
+la var imm_not_problem "Immigration is not a problem"
+label val imm_not_problem binary
+
+* When should immigrants be entitled to get benefits?
+gen imm_benefits_soon=(q_imm_benefits==1 | q_imm_benefits==2 | q_imm_benefits==4)
+replace imm_benefits_soon=. if q_imm_benefits==.
+la var imm_benefits_soon "Immigrants should get benefits in less than 3 years"
+label val imm_benefits_soon binary
+
+* When should immigrants be allowed to apply for citizenship?
+gen imm_citizenship_soon=(q_imm_citizenship==1 | q_imm_citizenship==2)
+replace imm_citizenship_soon=. if q_imm_citizenship==.
+la var imm_citizenship_soon "Immigrants should get citizenship in 2 or 5 years"
+label val imm_citizenship_soon binary
+
+* When would you consider an immigrant "Truly American"?
+gen trully_american_cit=(q_imm_american==7 | q_imm_american==1 | q_imm_american==4)
+replace trully_american_cit=. if q_imm_american==.
+la var trully_american_cit "Consider American at citizenship or sooner"
+label val trully_american_cit binary
+
+*Budget allocation
+winsor2 budget_safetynet budget_health budget_education, s(_w) c(5 95) by(country)
+la var budget_safetynet_w "% of the budget assigned to Income Support Program (winsorized)"
+la var budget_health_w "% of the budget assigned to Public Spending on Health (winsorized)"
+la var budget_education_w "% of the budget assigned to Spending on Schooling (winsorized)"
+
+gen budget_social_w = budget_health_w + budget_safetynet_w
+la var budget_social_w "% of the budget assigned to Income Support Program and Health (winsorized)"
+
+* Inequality is not a problem
+gen ineq_no_problem=(q_inequality_problem==1)
+replace ineq_no_problem=. if q_inequality_problem==.
+la var ineq_no_problem "Inequality is not a problem"
+label val ineq_no_problem binary
+
+* Total donation above 50th percentile within country
+gen total_donation_d=0
+foreach x in $countries {
+su total_donation if country=="`x'", d
+replace total_donation_d=1 if total_donation>r(p50) & country=="`x'"
+}
+replace total_donation_d=. if total_donation==.
+
+la var total_donation_d "Donated more than the median of the country of reference"
+label val total_donation_d binary
+
+
+*** Keep only control group ***
+
+keep if control==1
+
+
+****************
+* Gen controls *
+****************
+
+
+* Gen Left-right variables *
+* Based on vote or voting intensions
+gen left=(party_voted==4 | party_voted==5)
+replace left=. if party_voted==. | party_voted==6 | party_voted==0
+gen right=(party_voted==1 | party_voted==2)
+replace right=. if party_voted==. | party_voted==6 | party_voted==0
+gen center=(party_voted==3)
+replace center=. if party_voted==. | party_voted==6 | party_voted==0
+
+label var left "Left-wing"
+label var right "Right-wing"
+label var center "Center"
+
+foreach i in left right center{
+label val `i' binary
+}
+
+
+* Young
+gen young=(age<45)
+label var young "Young"
+label val young binary
+
+* Gender
+gen male=(sex==1)
+label var male "Male"
+label val male binary
+
+* Children dummy
+gen children=(number_children>1)
+replace children=. if number_children==.
+label var children "Has children"
+label val children binary
+
+* Immigrant parent
+gen immigrant_parent=(q_parent_same==2)
+replace immigrant_parent=. if q_parent_same==.
+label var immigrant_parent "At least one of the parents is an immigrant"
+label val immigrant_parent binary
+
+* Top income
+gen top_income=0
+foreach x in $countries{
+su household_income if country=="`x'", d
+replace top_income=1 if household_income>r(p75) & country=="`x'"
+}
+label var top_income "High Income"
+label val top_income binary
+
+
+
+* Redistribution index
+
+foreach var in tax_top1 tax_bottom50 budget_social_w budget_education_w ineq_no_problem total_donation_d{
+				
+su `var'
+local `var'mc: display %5.3f `r(mean)'
+su `var'
+local `var'sdc: display %5.3f `r(sd)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==.
+}
+
+gen red_index = (tax_top1_ind - tax_bottom50_ind + budget_social_w_ind + budget_education_w_ind - ineq_no_problem_ind + total_donation_d_ind)/6
+
+foreach var in tax_top1 tax_bottom50 budget_social_w budget_education_w ineq_no_problem total_donation_d{
+	drop `var'_ind
+}
+
+*** Gen Immigration support index
+
+foreach var in imm_not_problem imm_benefits_soon imm_citizenship_soon ///
+						trully_american_cit q_govt_imm  {
+su `var'
+local `var'mc: display %5.3f `r(mean)'
+su `var'
+local `var'sdc: display %5.3f `r(sd)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==.
+}
+
+gen index_imm_support=(imm_benefits_soon_ind + imm_citizenship_soon_ind ///
+						+trully_american_cit_ind + q_govt_imm_ind +imm_not_problem_ind)/5					
+
+				
+drop imm_not_problem_ind imm_benefits_soon_ind imm_citizenship_soon_ind ///
+						trully_american_cit_ind q_govt_imm_ind
+
+******************************
+* Perception indices    *****
+******************************
+*** Gen indices ***
+
+foreach var in mis_share_mu mis_share_ch mis_share_LA mis_share_AS  mis_share_AF mis_share_E  mis_share_NA ///
+				mis_unemp_imm  mis_loweduc_imm  mis_higheduc_imm mis_poverty_imm ///
+				effort_poor  moh_more  imm_tra_more{
+				
+su `var'
+local `var'mc: display %5.3f `r(mean)'
+su `var'
+local `var'sdc: display %5.3f `r(sd)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==.
+}
+
+gen culture_index = (mis_share_mu_ind - mis_share_ch_ind + mis_share_LA_ind + mis_share_AS_ind + mis_share_AF_ind - mis_share_E_ind - mis_share_NA_ind)/7
+
+gen econ_index = (mis_unemp_imm_ind + mis_loweduc_imm_ind - mis_higheduc_imm_ind +mis_poverty_imm_ind)/4
+
+gen free_riding_index = (effort_poor_ind + moh_more_ind + imm_tra_more_ind)/3
+
+foreach var in mis_share_mu mis_share_ch mis_share_LA mis_share_AS  mis_share_AF mis_share_E  mis_share_NA ///
+				mis_unemp_imm  mis_loweduc_imm  mis_higheduc_imm mis_poverty_imm ///
+				effort_poor  moh_more  imm_tra_more{
+					
+				drop `var'_ind
+				
+				}
+
+				
+label var culture_index "Perc. cultural distance index"
+label var econ_index "Perc. economic weakness index"
+label var free_riding_index "Perc. free-riding index"
+				
+
+********************************************
+* Declare variables to be used as controls *
+********************************************
+
+global controls right left male young immigrant_parent children university_degree top_income sector_dummy
+
+
+**************************
+* Correlation Graph with support for immigration and redistribution
+*************************
+
+global X mis_share_foreign culture_index econ_index free_riding_index
+
+preserve
+
+** Standardize vars **
+
+foreach var in red_index index_imm_support $X $controls{
+	su `var'
+	local `var'mc: display %5.3f `r(mean)'
+	local `var'sdc: display %5.3f `r(sd)'
+	replace `var'=(`var'-``var'mc')/``var'sdc'
+	}
+
+* Regressions (All together) - Immigration
+	eststo: xi: reg index_imm_support $X $controls i.country, robust
+foreach var in $X{
+	local b`var'_imm= _b[`var']
+	local se`var'_imm = _se[`var']
+	local ub_b`var'_imm= _b[`var'] + 1.96*_se[`var']
+	local lb_b`var'_imm= _b[`var'] - 1.96*_se[`var']     
+}
+
+* Regressions (All together) - Redistribution
+
+
+	eststo: xi: reg red_index $X $controls i.country, robust
+foreach var in $X{
+	local b`var'_red= _b[`var']
+	local se`var'_red = _se[`var']
+	local ub_b`var'_red= _b[`var'] + 1.96*_se[`var']
+	local lb_b`var'_red= _b[`var'] - 1.96*_se[`var']     
+}
+
+* Make Graph
+
+        clear
+        set obs 17
+        egen t = seq()
+		label define quintile 15 "Perc. free-riding index" 11 "Perc. economic weakness index" 7 "Perc. cultural distance index" 3 "All Immigrants (misp.)" 
+		label values t quintile
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    foreach var in $X {	
+		replace bY=`b`var'_imm' if n==`q'+1
+		replace ub_bY=`ub_b`var'_imm' if n==`q'+1
+		replace lb_bY=`lb_b`var'_imm' if n==`q'+1
+		local q = `q' + 4
+		}
+		
+		local q = 3
+		foreach var in $X {
+		replace bN=`b`var'_red' if n==`q'-1
+		replace ub_bN=`ub_b`var'_red' if n==`q'-1
+		replace lb_bN=`lb_b`var'_red' if n==`q'-1
+		local q = `q' + 4
+		}
+
+twoway 	(rspike lb_bY ub_bY t, hor lcolor(blue*.2) lpattern(solid) lwidth(vthick)) ///
+			(scatter t bY, mcolor(blue*0.7) lcolor(blue*0.7) lpattern(solid) msymbol(S) msize(large)) ///
+			(rspike lb_bN ub_bN t, hor lcolor(red*.2) lpattern(solid) lwidth(vthick)) ///
+			(scatter t bN, mcolor(red*1.2) lcolor(red*1.2) lpattern(solid) msymbol(D) msize(large)), ///
+            ytitle("") xlabel(-0.4[0.1]0.15, labsize(medlarge)) ylabel(3 7 11 15, value labsize(medlarge) angle(0) glcolor(gs16) noticks)  ///
+            xtitle("Correlation", size(medlarge)) ///
+			legend(order(2 4) row(2) lab(2 "Support for Immigration") lab(4 "Support for Redistribution")) ///
+			yline(5, lcolor(gs8) lpattern("-")) yline(9, lcolor(gs8) lpattern("-")) ///
+			yline(13, lcolor(gs8) lpattern("-")) ///
+			xline(0, lcolor(black) lw(vthin))  ///
+            graphregion(color(white)) plotregion(color(white))
+			graph export "$outdir/Figure_10.eps", as(eps) replace		
+
+restore

37/replication_package/Do/Figures/Fig2to7.Rmd

@@ -0,0 +1,992 @@
+---
+title: "Figures 2 to 7"
+output: pdf_document
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = F, warning = F, message = F)
+```
+
+```{r, include = F, echo = F}
+# Importing Packages
+rm(list=ls())
+gc()
+library(tidyverse)
+library(extrafont)
+library(gtable)
+library(ggplot2)
+library(gridExtra)
+library(grid)
+library(cowplot)
+library(grDevices)
+loadfonts()
+```
+
+```{r}
+# SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+setwd("C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing")
+
+# IMPORTING DATASETS
+datafig_2_l = read_csv('Out/Figures_data/figure_2_l_data.csv', show_col_types = FALSE)
+datafig_2_r = read_csv('Out/Figures_data/figure_2_r_data.csv', show_col_types = FALSE)
+datafig_3_a_l = read_csv('Out/Figures_data/figure_3_a_l_data.csv', show_col_types = FALSE)
+datafig_3_a_r = read_csv('Out/Figures_data/figure_3_a_r_data.csv', show_col_types = FALSE)
+datafig_3_b_l = read_csv('Out/Figures_data/figure_3_b_l_data.csv', show_col_types = FALSE)
+datafig_3_b_r = read_csv('Out/Figures_data/figure_3_b_r_data.csv', show_col_types = FALSE)
+datafig_4_a_l = read_csv('Out/Figures_data/figure_4_a_l_data.csv', show_col_types = FALSE)
+datafig_4_a_r = read_csv('Out/Figures_data/figure_4_a_r_data.csv', show_col_types = FALSE)
+datafig_4_b_l = read_csv('Out/Figures_data/figure_4_b_l_data.csv', show_col_types = FALSE)
+datafig_4_b_r = read_csv('Out/Figures_data/figure_4_b_r_data.csv', show_col_types = FALSE)
+datafig_5_a_l = read_csv('Out/Figures_data/figure_5_a_l_data.csv', show_col_types = FALSE)
+datafig_5_a_r = read_csv('Out/Figures_data/figure_5_a_r_data.csv', show_col_types = FALSE)
+datafig_5_b_l = read_csv('Out/Figures_data/figure_5_b_l_data.csv', show_col_types = FALSE)
+datafig_5_b_r = read_csv('Out/Figures_data/figure_5_b_r_data.csv', show_col_types = FALSE)
+datafig_6_a_l = read_csv('Out/Figures_data/figure_6_a_l_data.csv', show_col_types = FALSE)
+datafig_6_a_r = read_csv('Out/Figures_data/figure_6_a_r_data.csv', show_col_types = FALSE)
+datafig_6_b_l = read_csv('Out/Figures_data/figure_6_b_l_data.csv', show_col_types = FALSE)
+datafig_6_b_r = read_csv('Out/Figures_data/figure_6_b_r_data.csv', show_col_types = FALSE)
+datafig_7_l = read_csv('Out/Figures_data/figure_7_l_data.csv', show_col_types = FALSE)
+datafig_7_r = read_csv('Out/Figures_data/figure_7_r_data.csv', show_col_types = FALSE)
+
+# Standardize the dataset labels of Figure 2
+datafig_2_r$t = datafig_3_a_r$t
+```
+
+```{r}
+# Function to Export Figures: # SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+
+FigureExporter = function(Figure, Name, WhereFolderDraft = "C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"){
+  figure_name <- Name
+   figures_dir <- file.path(WhereFolderDraft, 'Out/Figures')
+fig_path <- file.path(figures_dir, figure_name)
+png(fig_path, width = 4800, height=2700, res = 720, type = c("cairo-png"))
+Figure1 = Figure
+print(Figure1)
+}
+```
+
+
+```{r}
+# Data Adjustment for Cleaning (Left Panel) Function
+
+DataAdjust = function(data){
+data = data[data$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(data) %in% "n")]
+data$m_perc <- data$m_perc/100
+data$m_real <- data$m_real/100
+data <- transform(data,
+                  lbound = lb_perc/100,
+                  ubound = ub_perc/100
+                  )
+
+diff <- data %>% 
+  mutate(Max = max(m_perc, m_real),
+         Min = min(m_perc, m_real),
+         Diff = Max / Min - 1) %>% 
+  arrange(desc(Diff))
+
+# Create difference between perception and real
+data$diff <- (data$m_perc - data$m_real)/data$m_real
+data_adj = data
+data_adj
+}
+```
+
+
+```{r}
+# Data Adjustment for Cleaning (Left Panel) Function - Without Rescaling
+
+DataAdjustNoResc = function(data){
+data = data[data$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(data) %in% "n")]
+data$m_perc <- data$m_perc
+data$m_real <- data$m_real
+data <- transform(data,
+                  lbound = lb_perc,
+                  ubound = ub_perc)
+
+diff <- data %>% 
+  mutate(Max = max(m_perc, m_real),
+         Min = min(m_perc, m_real),
+         Diff = Max / Min - 1) %>% 
+  arrange(desc(Diff))
+
+# Create difference between perception and real
+data$diff <- (data$m_perc - data$m_real)/data$m_real
+data_adj = data
+data_adj
+}
+```
+
+
+```{r}
+# Left Panel Function (from Cleaned Dataset)
+
+LeftPanelAdjustedData = function(data_adj, label, x_lb, x_upb, distance_ticks, 
+                                 labelActual = "Actual", labelMean = "Perceived (mean)"){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=m_real, yend=m_perc), size = 0.4, color="black") +
+  geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_point(aes(x=t, y=m_real, colour='Actual', shape = "Actual"), size=4)  +
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0), 
+                               limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.5,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=10),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()
+      ) +
+    theme(legend.text=element_text(size=8))+
+  scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+   scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+  xlab("") +
+  ylab(label)
+p1}
+```
+
+```{r}
+# Left Panel Function (from Initial Dataset)
+
+LeftPanel = function(data, label, x_lb, x_upb, distance_ticks, 
+                                 labelActual = "Actual", labelMean = "Perceived (mean)"){
+
+#Cleaning Data
+data = data[data$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(data) %in% "n")]
+data$m_perc <- data$m_perc/100
+data$m_real <- data$m_real/100
+data <- transform(data,
+                  lbound = lb_perc/100,
+                  ubound = ub_perc/100
+                  )
+
+diff <- data %>% 
+  mutate(Max = max(m_perc, m_real),
+         Min = min(m_perc, m_real),
+         Diff = Max / Min - 1) %>% 
+  arrange(desc(Diff))
+
+## Create difference between perception and real
+data$diff <- (data$m_perc - data$m_real)/data$m_real
+  
+#Plot
+
+p <- ggplot(data, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=m_real, yend=m_perc), size = 0.4, color="black") +
+  geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_point(aes(x=t, y=m_real, colour='Actual', shape = "Actual"), size=4) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0), 
+                               limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.5,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=11),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()
+      ) +
+    theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+   scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+  xlab("") +
+  ylab(label)
+p1}
+```
+
+```{r}
+# Right Panel Function 
+
+RightPanel = function(data, label, x_lb, x_upb){
+  
+## Load and clean data
+data[is.na(data)]<-0
+data$b <- data$bY + data$bN
+data$lb <- data$lb_bY + data$lb_bN
+data$ub <- data$ub_bY + data$ub_bN
+data <- data[which(data$b!=0),c("t","b", "lb", "ub")]
+
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+data$group <- groups
+
+mylabs <- c(0,1,1,0,1,0,0,1,0,1,0,1,1,0,0)
+data$mylabs <- mylabs
+
+data[which(data$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.' 
+data[which(data$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'  
+data[which(data$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College' 
+data[which(data$t=='Rich'),'t'] <- 'High Income' 
+data[which(data$t=='Not Rich'),'t'] <- 'Low Income' 
+data[which(data$t=='Not College'),'t'] <- 'No College'
+data[which(data$t=='Right-Wing'),'t'] <- 'Right-Wing'
+data[which(data$t=='Left-Wing'),'t'] <- 'Left-Wing'  
+
+#Plot
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+  geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t, colour = factor(mylabs), alpha = 0.05), size = 2) + 
+  geom_point(aes(x=b,y=t, colour=factor(mylabs), shape=factor(mylabs), size = factor(mylabs))) + 
+  facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+  xlim(x_lb,x_upb) + 
+  xlab(label) +
+  theme_light() + 
+  theme(
+    legend.position = 'none', axis.line=element_blank(), #Removing the axis
+    panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+    panel.grid.major.y = element_blank(),
+    text = element_text(family = "LM Roman 10", size = 11, colour = "black"),
+    axis.text = element_text(size = 11, colour = 'black'),
+    panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+    strip.background = element_blank(),
+    strip.text.y = element_blank(),
+    axis.text.y = element_text(size=9),
+    axis.title.y = element_blank(),
+    ### Add spacing for xlabel
+      axis.title.x = element_text(size = 9, margin = margin(t = 13)),
+    axis.ticks=element_blank(), #Removing the ticks
+    panel.spacing.y = unit(0, "lines")
+    ) + 
+    theme(legend.text=element_text(size=9))+
+    scale_colour_manual(values = c(rgb(0.7,0.2,0.1,1),'#F6891B'))+
+    scale_shape_manual(values=c(18,15))+
+    scale_size_manual(values=c(4,3))
+p2}
+```
+
+
+
+```{r}
+# Right Panel Function, with Percentages on the X-Axis 
+
+RightPanelPercentage = function(data, label, x_lb, x_upb, distance_ticks){
+  
+## Load and Clean Data
+data[is.na(data)]<-0
+data$b <- data$bY + data$bN
+data$lb <- data$lb_bY + data$lb_bN
+data$ub <- data$ub_bY + data$ub_bN
+data <- data[which(data$b!=0),c("t","b", "lb", "ub")]
+
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+data$group <- groups
+
+mylabs <- c(0,1,1,0,1,0,0,1,0,1,0,1,1,0,0)
+data$mylabs <- mylabs
+
+data[which(data$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.' 
+data[which(data$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'  
+data[which(data$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College' 
+data[which(data$t=='Rich'),'t'] <- 'High Income' 
+data[which(data$t=='Not Rich'),'t'] <- 'Low Income' 
+data[which(data$t=='Not College'),'t'] <- 'No College'  
+
+#Create loop to add "%" sign to any break value
+m = rep(NA, length(seq(x_lb, x_upb, by = distance_ticks)))
+for (i in seq(from = 1, to = length(seq(x_lb, x_upb, by = distance_ticks)))){
+m[i] = paste(round(100*seq(x_lb, x_upb, by = distance_ticks)[i]),"%", sep="")}
+
+#Plot
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+  geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t, colour = factor(mylabs), alpha = 0.05), size = 2) + 
+  geom_point(aes(x=b,y=t, colour=factor(mylabs), shape=factor(mylabs), size = factor(mylabs))) + 
+  facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+  scale_x_continuous(breaks = seq(x_lb, x_upb, by = distance_ticks), labels = m) +
+  xlab(label) +
+  theme_light() + 
+  theme(
+    legend.position = 'none', axis.line=element_blank(), #Removing the axis
+    panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+    panel.grid.major.y = element_blank(),
+    text = element_text(family = "LM Roman 10", size = 11, colour = "black"),
+    axis.text = element_text(size = 10, colour = 'black'),
+    panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+    strip.background = element_blank(),
+    strip.text.y = element_blank(),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.y = element_blank(),
+    ### Add spacing for xlabel
+      axis.title.x = element_text(size = 9, margin = margin(t = 13)),
+    axis.ticks=element_blank(), #Removing the ticks
+    panel.spacing.y = unit(0, "lines")
+    ) + 
+    theme(legend.text=element_text(size=9))+
+    scale_colour_manual(values = c(rgb(0.7,0.2,0.1,1),'#F6891B'))+
+    scale_shape_manual(values=c(18,15))+
+    scale_size_manual(values=c(4,3))
+p2}
+```
+
+
+
+
+```{r}
+###Final Figure Function: creates the Final Figure, assemblying Panels
+
+FinalPlot = function(DataLeft, LabelLeft, LowerLeft, UpperLeft, TicksLeft, 
+                     DataRight, LabelRight, LowerRight, UpperRight){
+#Plot
+p1 <- LeftPanel(DataLeft, LabelLeft, LowerLeft, UpperLeft, TicksLeft)
+p2 <- RightPanel(DataRight, LabelRight, LowerRight, UpperRight)
+Final_Plot <- plot_grid(p1,p2, labels=NULL, ncol=2, align='h', axis='b')
+plot(Final_Plot)
+}
+```
+
+```{r}
+lay <- rbind(c(0,0,0,0,1,1,1,1), c(0,0,0,0,1,1,1,1))
+```
+
+
+#Figure 2
+
+```{r}
+# Generate Figure
+FinalPlot(datafig_2_l, "Share of Immigrants", 0, .40 , .1, datafig_2_r, "Misperception (in % points)", 0, 30)
+
+# Export
+FigureExporter(FinalPlot(datafig_2_l, "Share of Immigrants", 0, .40 , .1, datafig_2_r, "Misperception (in % points)", 0, 30), "Figure_2.png")
+```
+
+
+#Figure 3 Panel A
+
+```{r}
+# Generate Figure
+FinalPlot(datafig_3_a_l, "Share of Muslim Immigrants", 0, .55 , .1, datafig_3_a_r, "Misperception (in % points)", 0, 20)
+
+# Export
+FigureExporter(FinalPlot(datafig_3_a_l, "Share of Muslim Immigrants", 0, .55 , .1, datafig_3_a_r, "Misperception (in % points)", 0, 20), "Figure_3_A.png")
+```
+
+\newpage
+
+
+#Figure 3 Panel B
+
+```{r}
+# Generate Figure
+FinalPlot(datafig_3_b_l, "Share of Christian Immigrants", 0, .65 , .1, datafig_3_b_r, "Misperception (in % points)", -30, 0)
+
+# Export
+FigureExporter(FinalPlot(datafig_3_b_l, "Share of Christian Immigrants", 0, .65 , .1, datafig_3_b_r, "Misperception (in % points)", -30, 0), "Figure_3_B.png")
+```
+
+
+#Figure 4 Panel A
+
+```{r}
+# Left Panel
+
+#Adjust Data
+datafig_4_a_l_adj = datafig_4_a_l[datafig_4_a_l$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(datafig_4_a_l) %in% "n")]
+
+LeftPanelAdjustedData9 = function(data_adj, label, x_lb, x_upb, distance_ticks, 
+                                 labelActual = "Natives", labelMean = "Immigrants"){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_segment(aes(x=t, xend=t, y=lb_nat, yend=ub_nat), size = 2, color = "#0080FF", alpha = 0.3) +
+  geom_point(aes(x=t, y=m_nat, colour='Actual', shape = "Actual"), size=4) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.4,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=10),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()
+      ) +
+  theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+   scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+  xlab("") +
+  ylab(label)
+p1}
+```
+
+```{r}
+# Rigth Panel
+
+#Adjust Data
+## Load and Clean Data
+datafig_4_a_r[is.na(datafig_4_a_r)]<-0
+datafig_4_a_r_adj = datafig_4_a_r
+datafig_4_a_r_adj$b <- datafig_4_a_r$bY + datafig_4_a_r$bN
+datafig_4_a_r_adj$lb <- datafig_4_a_r$lb_bY + datafig_4_a_r$lb_bN
+datafig_4_a_r_adj$ub <- datafig_4_a_r$ub_bY + datafig_4_a_r$ub_bN
+datafig_4_a_r_adj$bN <- datafig_4_a_r$bNY + datafig_4_a_r$bNN
+datafig_4_a_r_adj$lbN <- datafig_4_a_r$lb_bNY + datafig_4_a_r$lb_bNN
+datafig_4_a_r_adj$ubN <- datafig_4_a_r$ub_bNY + datafig_4_a_r$ub_bNN
+datafig_4_a_r_adj<- datafig_4_a_r_adj[which(datafig_4_a_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_4_a_r_adj$group <- groups
+
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_4_a_r_adj$mylabs <- mylabs
+
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_4_a_r_adj$mylabs1 <- mylabs1
+
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.' 
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'  
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College' 
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Rich'),'t'] <- 'High Income' 
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Not Rich'),'t'] <- 'Low Income' 
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_4_a_r_adj[which(datafig_4_a_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'  
+
+#Plot
+RightPanel9 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+  geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+                              shape = 18, size = 2) + 
+  geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) + 
+  geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15, 
+                              alpha = 0.5, size = 2) + 
+  geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+  facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+  xlim(x_lb,x_upb) + 
+  xlab(label) +
+  theme_light() + 
+  theme(
+    axis.line=element_blank(), #Removing the axis
+    panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+    panel.grid.major.y = element_blank(),
+    text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+    axis.text = element_text(size = 10, colour = 'black'),
+    panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+    strip.background = element_blank(),
+    strip.text.y = element_blank(),
+    axis.title.y = element_blank(),
+    ### Add spacing for xlabel
+    axis.ticks=element_blank(), #Removing the ticks
+    panel.spacing.y = unit(0, "lines"),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.85,0),
+    legend.title = element_blank(),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=11)),
+    axis.ticks.x = element_blank()
+    ) + 
+  theme(legend.text=element_text(size=9)) +
+    scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+    scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+```
+
+```{r}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData9(datafig_4_a_l_adj, "Misperception (in % points)", -25, 30 , 5, "Non-immigrants", "Immigrants"), 
+             RightPanel9(datafig_4_a_r_adj, "Misperception (in % points)", -15, 15, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData9(datafig_4_a_l_adj, "Misperception (in % points)", -25, 30 , 5, "Non-immigrants", "Immigrants"), 
+             RightPanel9(datafig_4_a_r_adj, "Misperception (in % points)", -15, 15, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b'), 
+               "Figure_4_A.png")
+```
+
+
+#Figure 4 Panel B
+
+```{r}
+# Left Panel
+
+#Adjust Data
+datafig_4_b_l_adj = datafig_4_b_l[datafig_4_b_l$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(datafig_4_b_l) %in% "n")]
+
+LeftPanelAdjustedData9 = function(data_adj, label, x_lb, x_upb, distance_ticks, 
+                                 labelActual = "Natives", labelMean = "Immigrants"){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_segment(aes(x=t, xend=t, y=lb_nat, yend=ub_nat), size = 2, color = "#0080FF", alpha = 0.3) +
+  geom_point(aes(x=t, y=m_nat, colour='Actual', shape = "Actual"), size=4) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.4,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=10),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()
+      ) +
+  theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+   scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+  xlab("") +
+  ylab(label)
+p1}
+```
+
+```{r}
+# Rigth Panel
+
+#Adjust Data
+## Load and Clean Data
+datafig_4_b_r[is.na(datafig_4_b_r)]<-0
+datafig_4_b_r_adj = datafig_4_b_r
+datafig_4_b_r_adj$b <- datafig_4_b_r$bY + datafig_4_b_r$bN
+datafig_4_b_r_adj$lb <- datafig_4_b_r$lb_bY + datafig_4_b_r$lb_bN
+datafig_4_b_r_adj$ub <- datafig_4_b_r$ub_bY + datafig_4_b_r$ub_bN
+datafig_4_b_r_adj$bN <- datafig_4_b_r$bNY + datafig_4_b_r$bNN
+datafig_4_b_r_adj$lbN <- datafig_4_b_r$lb_bNY + datafig_4_b_r$lb_bNN
+datafig_4_b_r_adj$ubN <- datafig_4_b_r$ub_bNY + datafig_4_b_r$ub_bNN
+datafig_4_b_r_adj<- datafig_4_b_r_adj[which(datafig_4_b_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_4_b_r_adj$group <- groups
+
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_4_b_r_adj$mylabs <- mylabs
+
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_4_b_r_adj$mylabs1 <- mylabs1
+
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.' 
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'  
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College' 
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Rich'),'t'] <- 'High Income' 
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Not Rich'),'t'] <- 'Low Income' 
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_4_b_r_adj[which(datafig_4_b_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'  
+
+#Plot
+RightPanel9 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+  geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+                              shape = 18, size = 2) + 
+  geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) + 
+  geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15, 
+                              alpha = 0.5, size = 2) + 
+  geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+  facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+  xlim(x_lb,x_upb) + 
+  xlab(label) +
+  theme_light() + 
+  theme(
+    axis.line=element_blank(), #Removing the axis
+    panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+    panel.grid.major.y = element_blank(),
+    text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+    axis.text = element_text(size = 10, colour = 'black'),
+    panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+    strip.background = element_blank(),
+    strip.text.y = element_blank(),
+    axis.title.y = element_blank(),
+    ### Add spacing for xlabel
+    axis.ticks=element_blank(), #Removing the ticks
+    panel.spacing.y = unit(0, "lines"),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.85,0),
+    legend.title = element_blank(),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=11)),
+    axis.ticks.x = element_blank()
+    ) + 
+  theme(legend.text=element_text(size=9)) +
+    scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+    scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+```
+
+```{r}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData9(datafig_4_b_l_adj, "Misperception (in % points)", 5, 35 , 5, "Non-immigrants", "Immigrants"), 
+             RightPanel9(datafig_4_b_r_adj, "Misperception (in % points)", 0, 35, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData9(datafig_4_b_l_adj, "Misperception (in % points)", 5, 35 , 5, "Non-immigrants", "Immigrants"), 
+             RightPanel9(datafig_4_b_r_adj, "Misperception (in % points)", 0, 35, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b'), 
+               "Figure_4_B.png")
+```
+
+\newpage
+
+
+#Figure 5 Panel A
+
+```{r}
+# Data adjustment for Left Panel: no rescaling needed
+datafig_5_a_l_adj = DataAdjustNoResc(datafig_5_a_l) 
+
+# Generate Figure
+plot_grid(LeftPanelAdjustedData(datafig_5_a_l_adj, "Share of Respondents", 0.1, .5 , .1, 
+                                   "Alesina et al. (2018)", "Q on Imm."), 
+             RightPanelPercentage(datafig_5_a_r, "Share of Respondents", 0.2, 0.6, 0.1), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData(datafig_5_a_l_adj, "Share of Respondents", 0.1, .5 , .1, 
+                                   "Alesina et al. (2018)", "Q on Imm."), 
+             RightPanelPercentage(datafig_5_a_r, "Share of Respondents", 0.2, 0.6, 0.1), 
+             labels=NULL, ncol=2, align='h', axis='b'), "Figure_5_A.png")
+```
+
+
+#Figure 5 Panel B
+
+```{r}
+# Data Adjustment
+datafig_5_b_l_adj = DataAdjustNoResc(datafig_5_b_l)
+
+# Generate Figure
+plot_grid(LeftPanelAdjustedData(datafig_5_b_l_adj, "Share of Respondents", 0.15, .8 , .1, 
+                                   "Alesina et al. (2018)", "Q on Imm."), 
+             RightPanelPercentage(datafig_5_b_r, "Share of Respondents", 0.50, 0.8, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData(datafig_5_b_l_adj, "Share of Respondents", 0.15, .8 , .1, 
+                                   "Alesina et al. (2018)", "Q on Imm."), 
+             RightPanelPercentage(datafig_5_b_r, "Share of Respondents", 0.50, 0.8, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b'), "Figure_5_B.png")
+```
+
+
+#Figure 6 Panel A
+
+```{r}
+# Left Panel
+
+##Data Adjustment (do not consider m_real as missing)
+datafig_6_a_l_adj = datafig_6_a_l[datafig_6_a_l$t %in% c("Sweden", "Germany", "Italy", 
+                                                      "France", "UK", "US"), !names(datafig_6_a_l) %in% c("n","m_real")]
+datafig_6_a_l_adj$m_perc <- datafig_6_a_l_adj$m_perc
+datafig_6_a_l_adj <- transform(datafig_6_a_l_adj,
+                  lbound = lb_perc,
+                  ubound = ub_perc)
+
+##Graph
+LeftPanel_NoActual = function(data_adj, label, xlb, xupb, distance_ticks){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0), 
+                               limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "none",
+    legend.box = "horizontal",
+    legend.justification = c(0.5,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=10),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()) +
+    theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = 'Perceived (mean)', values =rgb(0.7,0.2,0.1,1)) +
+   scale_shape_manual(name = "", labels = c('Perceived (mean)'), values = 15) +
+  xlab("") +
+  ylab(label)
+  
+p1}
+```
+
+
+```{r}
+# Generate Figure
+plot_grid(LeftPanel_NoActual(datafig_6_a_l_adj, "Share of Respondents", 0.05, 0.3, 0.05) , 
+             RightPanelPercentage(datafig_6_a_r, "Share of Respondents", 0.05, 0.25, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanel_NoActual(datafig_6_a_l_adj, "Share of Respondents", 0.05, 0.3, 0.05) , 
+             RightPanelPercentage(datafig_6_a_r, "Share of Respondents", 0.05, 0.25, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b'), "Figure_6_A.png")
+```
+
+
+#Figure 6 Panel B
+
+```{r}
+# Left Panel
+
+##Data Adjustment (do not consider m_real as missing)
+datafig_6_b_l_adj = datafig_6_b_l[datafig_6_b_l$t %in% c("Sweden", "Germany", "Italy", 
+                                                      "France", "UK", "US"), !names(datafig_6_b_l) %in% c("n","m_real")]
+datafig_6_b_l_adj$m_perc <- datafig_6_b_l_adj$m_perc
+datafig_6_b_l_adj <- transform(datafig_6_b_l_adj,
+                  lbound = lb_perc,
+                  ubound = ub_perc)
+
+##Graph
+LeftPanel_NoActual = function(data_adj, label, xlb, xupb, distance_ticks){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(labels = scales::percent_format(accuracy = 5L), expand = c(0.02, 0), 
+                               limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "none",
+    legend.box = "horizontal",
+    legend.justification = c(0.5,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=11),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank(),
+    ) +
+    theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = 'Perceived (mean)', values =rgb(0.7,0.2,0.1,1)) +
+   scale_shape_manual(name = "", labels = c('Perceived (mean)'), values = 15) +
+  xlab("") +
+  ylab(label)
+  
+p1}
+```
+
+```{r}
+# Generate Figure
+plot_grid(LeftPanel_NoActual(datafig_6_b_l_adj, "Share of Respondents", 0, 0.4, 0.1) , 
+             RightPanelPercentage(datafig_6_b_r, "Share of Respondents", 0.1, 0.4, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanel_NoActual(datafig_6_b_l_adj, "Share of Respondents", 0, 0.4, 0.1) , 
+             RightPanelPercentage(datafig_6_b_r, "Share of Respondents", 0.1, 0.4, 0.05), 
+             labels=NULL, ncol=2, align='h', axis='b'), "Figure_6_B.png")
+```
+
+\newpage
+
+
+#Figure 7
+
+```{r}
+# Left Panel
+
+#Adjust Data
+datafig_7_l_adj = datafig_7_l[datafig_7_l$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(datafig_7_l) %in% "n")]
+
+LeftPanelAdjustedData12 = function(data_adj, label, x_lb, x_upb, distance_ticks, 
+                                 labelActual = "Natives", labelMean = "Immigrants"){
+p <- ggplot(data_adj, aes(x=t)) +
+  ## Plot segment joining and points
+  geom_segment(aes(x=t, xend=t, y=lb_perc, yend=ub_perc), size = 2, color = rgb(0.7,0.2,0.1,0.3)) + 
+  geom_segment(aes(x=t, xend=t, y=lb_nat, yend=ub_nat), size = 2, color = "#0080FF", alpha = 0.3) +
+  geom_point(aes(x=t, y=m_nat, colour='Actual', shape = "Actual"), size=4) + 
+  geom_point(aes(x=t, y=m_perc, colour="Mean", shape = "Mean"), size=3) +
+  coord_flip()
+
+## Add theme, labels, and modify scale
+myshapes <- c("my_b" = "15", "my_d" = "18")
+p1 <- p + 
+  scale_y_continuous(limits = c(x_lb, x_upb), breaks = seq(x_lb, x_upb, by = distance_ticks)) +
+  theme_light() +
+  theme(
+    ## Control grid
+    panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+    panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+    
+    ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.3,0),
+    legend.title = element_blank(),
+    text = element_text(family = "LM Roman 10", color='black', size=10),
+    axis.text = element_text(colour = 'black'),
+    axis.text.x = element_text(size=9),
+    axis.text.y = element_text(size=9),
+    axis.title.x = element_text(size = 9, margin = margin(t=15)),
+    axis.ticks.x = element_blank()
+      ) +
+    theme(legend.text=element_text(size=9))+
+  scale_colour_manual(name = "", labels = c(labelActual,labelMean), values = c(Actual="#0080FF", Mean=rgb(0.7,0.2,0.1,1))) +
+   scale_shape_manual(name = "", labels = c(labelActual,labelMean), values = c(18,15)) +
+  xlab("") +
+  ylab(label)
+p1}
+```
+
+```{r}
+# Rigth Panel
+
+#Adjust Data
+## Load and clean data
+datafig_7_r[is.na(datafig_7_r)]<-0
+datafig_7_r_adj = datafig_7_r
+datafig_7_r_adj$b <- datafig_7_r$bY + datafig_7_r$bN
+datafig_7_r_adj$lb <- datafig_7_r$lb_bY + datafig_7_r$lb_bN
+datafig_7_r_adj$ub <- datafig_7_r$ub_bY + datafig_7_r$ub_bN
+datafig_7_r_adj$bN <- datafig_7_r$bNY + datafig_7_r$bNN
+datafig_7_r_adj$lbN <- datafig_7_r$lb_bNY + datafig_7_r$lb_bNN
+datafig_7_r_adj$ubN <- datafig_7_r$ub_bNY + datafig_7_r$ub_bNN
+datafig_7_r_adj<- datafig_7_r_adj[which(datafig_7_r_adj$b!=0), c("t","b", "lb", "ub", "bN", "lbN", "ubN")]
+
+groups <- c(7,7,6,6,5,5,4,4,3,3,2,2,1,1,1)
+datafig_7_r_adj$group <- groups
+
+mylabs <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
+datafig_7_r_adj$mylabs <- mylabs
+
+mylabs1 <- c(2,2,2,2,2,2,2,2,2,2,2,2,2,2,2)
+datafig_7_r_adj$mylabs1 <- mylabs1
+
+datafig_7_r_adj[which(datafig_7_r_adj$t=='No H. Sect.'),'t'] <- 'Not High Imm. Sect.' 
+datafig_7_r_adj[which(datafig_7_r_adj$t=='H.Sect.&L.Ed'),'t'] <- 'H. Sect. & No College'  
+datafig_7_r_adj[which(datafig_7_r_adj$t=='H.Sect.&H.Ed'),'t'] <- 'H. Sect. & College' 
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Rich'),'t'] <- 'High Income' 
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Not Rich'),'t'] <- 'Low Income' 
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Not College'),'t'] <- 'No College'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Right-Wing'),'t'] <- 'Right-Wing'
+datafig_7_r_adj[which(datafig_7_r_adj$t=='Left-Wing'),'t'] <- 'Left-Wing'  
+
+#Plot
+RightPanel12 = function(data, label, x_lb, x_upb, labelActual = "Natives", labelMean = "Immigrants"){
+p2 <- ggplot(data = data, aes(x=factor(b),y=t, group = group)) +
+  geom_segment(data=data, aes(x=lb, xend=ub, y=t, yend=t), colour = "#4CA64D", alpha = 0.5,
+                              shape = 18, size = 2) + 
+  geom_point(aes(x=b,y=t, colour=factor(mylabs), shape = factor(mylabs)), size = 3) + 
+  geom_segment(data=data, aes(x=lbN, xend=ubN, y=t, yend=t), colour = '#0000D5', shape = 15, 
+                              alpha = 0.5, size = 2) + 
+  geom_point(aes(x=bN,y=t, colour=factor(mylabs1), shape=factor(mylabs1)), size = 4) +
+  facet_grid(group ~ ., space = 'free_y', scales = "free_y") +
+  xlim(x_lb,x_upb) + 
+  xlab(label) +
+  theme_light() + 
+  theme(
+    axis.line=element_blank(), #Removing the axis
+    panel.grid.major.x = element_line(linetype = 'dashed', color = 'darkgray'),
+    panel.grid.major.y = element_blank(),
+    text = element_text(family = "LM Roman 10", size = 10, colour = "black"),
+    axis.text = element_text(size = 9, colour = 'black'),
+    panel.border = element_rect(color = "darkgray", fill = NA, size = 0.3), #horizontal line between graphs
+    strip.background = element_blank(),
+    axis.text.y = element_text(size=9),
+    axis.title.y = element_blank(),
+     ### Add spacing for xlabel
+      axis.title.x = element_text(size = 9, margin = margin(t=13)),
+    axis.ticks=element_blank(), #Removing the ticks
+    panel.spacing.y = unit(0, "lines"),
+    
+        ## Control legend
+    legend.position = "bottom",
+    legend.box = "horizontal",
+    legend.justification = c(0.65,0),
+    #panel.border = element_blank(),
+    legend.title = element_blank()
+    ) + 
+  theme(legend.text=element_text(size=9)) +
+    scale_colour_manual(name= "", labels = c(labelMean,labelActual), values = c("#4CA64D",'#0000D5')) +
+    scale_shape_manual(name= "", labels = c(labelMean,labelActual), values = c(15, 18))
+p2}
+```
+
+```{r}
+# Generate Figure
+plot_grid(LeftPanelAdjustedData12(datafig_7_l_adj, "Misperception (in % points)", -10, 30 , 10, "Non-immigrants", "Immigrants"), 
+             RightPanel12(datafig_7_r_adj, "Misperception (in % points)", 0, 20, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(LeftPanelAdjustedData12(datafig_7_l_adj, "Misperception (in % points)", -10, 30 , 10, "Non-immigrants", "Immigrants"), 
+             RightPanel12(datafig_7_r_adj, "Misperception (in % points)", 0, 20, "Non-immigrants", "Immigrants"), 
+             labels=NULL, ncol=2, align='h', axis='b'), 
+               "Figure_7.png")
+```

37/replication_package/Do/Figures/Fig2to7_9_data.do

@@ -0,0 +1,2056 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* This files prepares and exports the data for Figures 2 to 7 and 9 in the folder Out/Figures_data. To produce the final figures the data should be imported in R using the codes Figures2_7.rmd and Figure9.rmd
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+
+global outdir "Out/Figures_data"
+
+* Load the data
+
+use "Data/survey_analysis.dta", clear
+
+* Countries included in the analysis
+global countries "US UK DE FR IT SE"
+
+
+* Generate flags - To ensure answers quality
+gen flag_1=0
+gen flag_2=0
+
+* Keep only those with flag 1 and flag 2 equal to zero
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+* Drop respondents in bottom and top 2% of distribution of time spent on the survey
+keep if flag_1==0 & flag_2==0
+
+*Drop variable used to exclude inattentive respondents
+drop flag_1 flag_2 min_duration max_duration
+
+* Add data on actual natives and immigrants statistics and generate misperceptions *
+
+do "Do/misperceptions.do"
+
+* Gen variables to be plotted *
+
+* Dummy = 1 if Mohammad receives more on net from the state (either receives more transfers and pays same or less taxes or receives same transfers but pays less taxes)
+gen moh_more=(Moh_transfers<3 & Moh_tax>2)
+replace moh_more=1 if Moh_transfers==3 & Moh_tax>3
+replace moh_more=. if Moh_tax==. | Moh_transfers==.
+la var moh_more "Mohammad receives more transfers and/or pays less taxes than John"
+label val moh_more binary
+
+* Transfers
+gen imm_tra_twice_more=(transfers_imm==11 |transfers_imm==12 |transfers_imm==13)
+la var imm_tra_twice_more "Immigrants receive tiwice as many transfers as natives or more"
+replace imm_tra_twice_more=. if transfers_imm==.
+label val imm_tra_twice_more binary
+
+****************
+* Gen additional controls *
+****************
+
+* Immigrant parent
+gen immigrant_parent=(q_parent_same==2)
+replace immigrant_parent=. if q_parent_same==.
+label var immigrant_parent "Immigrant parent"
+label val immigrant_parent binary
+
+
+* Gen Left-right variables *
+* Based on vote or voting intentions
+gen left=(party_voted==4 | party_voted==5)
+replace left=. if party_voted==. | party_voted==6 | party_voted==0
+gen right=(party_voted==1 | party_voted==2)
+replace right=. if party_voted==. | party_voted==6 | party_voted==0
+gen center=(party_voted==3)
+replace center=. if party_voted==. | party_voted==6 | party_voted==0
+
+label var left "Left-wing"
+label var right "Right-wing"
+label var center "Center"
+
+foreach i in left right center{
+label val `i' binary
+}
+
+* Young
+gen young=(age<45)
+label var young "Age 18 to 45"
+label val young binary
+
+* Gender
+gen male=(sex==1)
+label var male "Male"
+label val male binary
+
+* Top income
+gen top_income=0
+foreach x in $countries{
+su household_income if country=="`x'", d
+replace top_income=1 if household_income>r(p75) & country=="`x'"
+}
+label var top_income "High Income"
+label val top_income binary
+
+* Sector dummy
+label var sector_dummy "High intensity sector"
+
+
+* Gen variables for high immigration sectors, with low/high educ
+gen sector_dummy_h=sector_dummy*university_degree
+gen sector_dummy_l=sector_dummy*(1-university_degree)
+
+
+**********************
+* Keep only control group *
+
+keep if control==1
+
+*********************
+
+* Gen group variables
+
+gen var_1= left
+gen var_2= male
+gen var_3= young
+gen var_4= immigrant_parent
+gen var_5= top_income
+gen var_6= university_degree
+gen var_7= sector_dummy_h
+gen var_8= sector_dummy_l
+
+
+************************
+* Figure 2 - Share of immigrants
+************************
+
+* Misperception by group
+
+**** Share of immigrants *
+global vars mis_share_foreign
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "High Income" 10 "Low Income" 11 "College" 12 "No College" 13 "H.Imm. S.&No Coll." 14 "H. Imm. S.&Coll." 15 "Not H. Imm. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_2_r_data.csv", replace		
+	
+	restore
+	
+	
+*** Perceptions by country ***
+
+gen var_perc = perc_share_foreign
+
+gen var_real = share_foreign
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_real if country=="`x'", level(95)
+local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+	
+	export delimited "$outdir/figure_2_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_real
+
+************************
+* Figure 3, Panel A -- Share of Muslim immigrants
+************************
+
+**** Share of muslim
+global vars mis_share_mu
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_3_a_r_data.csv", replace
+			
+	restore
+	
+** By Country **
+
+gen var_perc = perc_share_mu
+
+gen var_real = share_muslim
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_real if country=="`x'", level(95)
+local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+				
+	export delimited "$outdir/figure_3_a_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_real
+
+
+************************
+* Figure 3, Panel B -- Share of Christian immigrants
+************************
+
+
+* Misperception by group
+
+**** Share of christian *
+global vars mis_share_ch
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_3_b_r_data.csv", replace
+			
+	restore
+
+
+
+*** By country
+
+gen var_perc = perc_share_ch
+
+gen var_real = share_christian
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_real if country=="`x'", level(95)
+local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+				
+		export delimited "$outdir/figure_3_b_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_real
+
+*************************
+* Figure 4, Immigrants' and natives' economic circumstances
+* Panel A -- Share of High Educated
+***********************
+
+
+* By group *
+
+global vars mis_higheduc_imm
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2Y_`q' = r(p50)
+local ub2_bY_`q' = r(p75)
+local lb2_bY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2N_`q' = r(p50)
+local ub2_bN_`q' = r(p75)
+local lb2_bN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2Y_1 = r(p50)
+local ub2_bY_1 = r(p75)
+local lb2_bY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2N_1 = r(p50)
+local ub2_bN_1 = r(p75)
+local lb2_bN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2N_7 = r(p50)
+local b2N_8 = r(p50)
+local ub2_bN_7 = r(p75)
+local lb2_bN_7 = r(p25)
+local ub2_bN_8 = r(p75)
+local lb2_bN_8 = r(p25)
+}
+
+global vars mis_higheduc_nat
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bNY_`q' = r(mean)
+local ub_bNY_`q' = r(ub)
+local lb_bNY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2NY_`q' = r(p50)
+local ub2_bNY_`q' = r(p75)
+local lb2_bNY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bNN_`q' = r(mean)
+local ub_bNN_`q' = r(ub)
+local lb_bNN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2NN_`q' = r(p50)
+local ub2_bNN_`q' = r(p75)
+local lb2_bNN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bNY_1 = r(mean)
+local ub_bNY_1 = r(ub)
+local lb_bNY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2NY_1 = r(p50)
+local ub2_bNY_1 = r(p75)
+local lb2_bNY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bNN_1 = r(mean)
+local ub_bNN_1 = r(ub)
+local lb_bNN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2NN_1 = r(p50)
+local ub2_bNN_1 = r(p75)
+local lb2_bNN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bNN_7 = r(mean)
+local ub_bNN_7 = r(ub)
+local lb_bNN_7 = r(lb)
+local bNN_8 = r(mean)
+local ub_bNN_8 = r(ub)
+local lb_bNN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2NN_7 = r(p50)
+local b2NN_8 = r(p50)
+local ub2_bNN_7 = r(p75)
+local lb2_bNN_7 = r(p25)
+local ub2_bNN_8 = r(p75)
+local lb2_bNN_8 = r(p25)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+		gen bNY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen ub_bNY = .
+        gen lb_bNY = .
+		gen bN = .
+		gen bNN = .
+        gen ub_bN = .
+        gen lb_bN = .
+		gen ub_bNN = .
+        gen lb_bNN = .		
+		gen n=_n
+		
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bNY=`bNY_`i'' if n==`q'
+		replace ub_bNY=`ub_bNY_`i'' if n==`q'
+		replace lb_bNY=`lb_bNY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bNN=`bNN_`i'' if n==`q'
+		replace ub_bNN=`ub_bNN_`i'' if n==`q'
+		replace lb_bNN=`lb_bNN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+		replace bNY=`bNY_8' if n==39
+		replace ub_bNY=`ub_bNY_8' if n==39
+		replace lb_bNY=`lb_bNY_8' if n==39
+		
+		replace bNN=`bNY_7' if n==42
+		replace ub_bNN=`ub_bNY_7' if n==42
+		replace lb_bNN=`lb_bNY_7' if n==42
+		
+		replace bNN=`bNN_7' if n==45
+		replace ub_bNN=`ub_bNN_7' if n==45
+		replace lb_bNN=`lb_bNN_7' if n==45
+
+	export delimited "$outdir/figure_4_a_r_data.csv", replace
+			
+restore
+
+
+*** Perceptions by country ***
+
+gen var_perc = mis_higheduc_imm
+
+gen var_nat = mis_higheduc_nat
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_nat if country=="`x'", level(95)
+local m_nat`x' = r(mean)
+local lb_nat`x' = r(lb)
+local ub_nat`x' = r(ub)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_nat = .
+		gen lb_nat = .
+		gen ub_nat = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_nat=`m_nat`x'' if n==`q'
+		replace lb_nat=`lb_nat`x'' if n==`q'
+		replace ub_nat=`ub_nat`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+	
+	export delimited "$outdir/figure_4_a_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_nat
+			
+
+*************************
+* Figure 4, Panel B -- Unemployment
+***********************
+
+
+
+global vars mis_unemp_imm
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2Y_`q' = r(p50)
+local ub2_bY_`q' = r(p75)
+local lb2_bY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2N_`q' = r(p50)
+local ub2_bN_`q' = r(p75)
+local lb2_bN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2Y_1 = r(p50)
+local ub2_bY_1 = r(p75)
+local lb2_bY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2N_1 = r(p50)
+local ub2_bN_1 = r(p75)
+local lb2_bN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2N_7 = r(p50)
+local b2N_8 = r(p50)
+local ub2_bN_7 = r(p75)
+local lb2_bN_7 = r(p25)
+local ub2_bN_8 = r(p75)
+local lb2_bN_8 = r(p25)
+}
+
+global vars mis_unemp_nat
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bNY_`q' = r(mean)
+local ub_bNY_`q' = r(ub)
+local lb_bNY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2NY_`q' = r(p50)
+local ub2_bNY_`q' = r(p75)
+local lb2_bNY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bNN_`q' = r(mean)
+local ub_bNN_`q' = r(ub)
+local lb_bNN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2NN_`q' = r(p50)
+local ub2_bNN_`q' = r(p75)
+local lb2_bNN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bNY_1 = r(mean)
+local ub_bNY_1 = r(ub)
+local lb_bNY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2NY_1 = r(p50)
+local ub2_bNY_1 = r(p75)
+local lb2_bNY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bNN_1 = r(mean)
+local ub_bNN_1 = r(ub)
+local lb_bNN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2NN_1 = r(p50)
+local ub2_bNN_1 = r(p75)
+local lb2_bNN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bNN_7 = r(mean)
+local ub_bNN_7 = r(ub)
+local lb_bNN_7 = r(lb)
+local bNN_8 = r(mean)
+local ub_bNN_8 = r(ub)
+local lb_bNN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2NN_7 = r(p50)
+local b2NN_8 = r(p50)
+local ub2_bNN_7 = r(p75)
+local lb2_bNN_7 = r(p25)
+local ub2_bNN_8 = r(p75)
+local lb2_bNN_8 = r(p25)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+		gen bNY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen ub_bNY = .
+        gen lb_bNY = .
+		gen bN = .
+		gen bNN = .
+        gen ub_bN = .
+        gen lb_bN = .
+		gen ub_bNN = .
+        gen lb_bNN = .		
+		gen n=_n
+		
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bNY=`bNY_`i'' if n==`q'
+		replace ub_bNY=`ub_bNY_`i'' if n==`q'
+		replace lb_bNY=`lb_bNY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bNN=`bNN_`i'' if n==`q'
+		replace ub_bNN=`ub_bNN_`i'' if n==`q'
+		replace lb_bNN=`lb_bNN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+		replace bNY=`bNY_8' if n==39
+		replace ub_bNY=`ub_bNY_8' if n==39
+		replace lb_bNY=`lb_bNY_8' if n==39
+		
+		replace bNN=`bNY_7' if n==42
+		replace ub_bNN=`ub_bNY_7' if n==42
+		replace lb_bNN=`lb_bNY_7' if n==42
+		
+		replace bNN=`bNN_7' if n==45
+		replace ub_bNN=`ub_bNN_7' if n==45
+		replace lb_bNN=`lb_bNN_7' if n==45
+
+	export delimited "$outdir/figure_4_b_r_data.csv", replace
+					
+restore
+
+*** Perceptions by country ***
+
+gen var_perc = mis_unemp_imm
+
+gen var_nat = mis_unemp_nat
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_nat if country=="`x'", level(95)
+local m_nat`x' = r(mean)
+local lb_nat`x' = r(lb)
+local ub_nat`x' = r(ub)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_nat = .
+		gen lb_nat = .
+		gen ub_nat = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_nat=`m_nat`x'' if n==`q'
+		replace lb_nat=`lb_nat`x'' if n==`q'
+		replace ub_nat=`ub_nat`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+	
+	export delimited "$outdir/figure_4_b_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_nat
+
+************************
+* Figure 5, Immigrants' Work Effort
+* Panel A -- Effort - Poor
+************************
+
+* By group *
+
+* Lack of Effort reason poor *
+global vars effort_poor
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_5_a_r_data.csv", replace
+	
+			
+	restore
+	
+* By country *
+
+gen var_perc = effort_poor
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+*ci means var_real if country=="`x'", level(95)
+*local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		*replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+		
+		* Add averages from Alesina, Stantcheva and Teso (2018)
+		replace m_real=0.458694398 if n==30
+		replace m_real=0.366271406 if n==25
+		replace m_real=0.234680578 if n==20
+		replace m_real=0.137414962 if n==15
+		replace m_real=0.323788553 if n==5
+		
+	export delimited "$outdir/figure_5_a_l_data.csv", replace	
+				
+restore	
+
+drop var_perc
+
+*************************
+* Figure 5, Panel B -- Effort - Rich
+*********************
+
+* By group
+
+**** Effort reason rich *
+global vars effort_rich
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_5_b_r_data.csv", replace	
+			
+	restore
+	
+	
+* By country
+
+gen var_perc = effort_rich
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+*ci means var_real if country=="`x'", level(95)
+*local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		*replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+		
+		*US
+		replace m_real=0.391681105 if n==30
+		*UK
+		replace m_real=0.312252969 if n==25
+		*FR
+		replace m_real=0.305084735 if n==20
+		*IT
+		replace m_real=0.16870749 if n==15
+		*SE
+		replace m_real=0.383259922 if n==5
+		
+		
+	export delimited "$outdir/figure_5_b_l_data.csv", replace
+restore	
+
+drop var_perc
+
+
+************************
+* Figure 6, Are Immigrants The Beneficiaries of Redistribution?
+* Panel A -- An immigtant gets twice as much as a native
+************************
+
+**** Immigrants get twice as much as natives or more *
+
+* By group
+
+global vars imm_tra_twice_more
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_6_a_r_data.csv", replace
+			
+	restore
+	
+* By country
+
+gen var_perc = imm_tra_twice_more
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+*ci means var_real if country=="`x'", level(95)
+*local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		*replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}	
+		
+	export delimited "$outdir/figure_6_a_l_data.csv", replace
+					
+restore	
+
+drop var_perc
+
+
+************************
+* Figure 6, Panel B -- Conditional Transfers (Mohammad vs. John)
+************************
+
+**** Mohammad question *
+
+* By group
+
+global vars moh_more
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen bN = .
+        gen ub_bN = .
+        gen lb_bN = .		
+		gen n=_n
+		
+	
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+	export delimited "$outdir/figure_6_b_r_data.csv", replace
+			
+	restore
+
+* By country *
+
+gen var_perc = moh_more
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+*ci means var_real if country=="`x'", level(95)
+*local m_real`x' = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		*replace m_real=`m_real`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}	
+		
+	export delimited "$outdir/figure_6_b_l_data.csv", replace
+					
+restore	
+
+drop var_perc
+
+************************
+* Figure 7 -- Poverty
+************************
+
+* By group *
+
+global vars mis_poverty_imm
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bY_`q' = r(mean)
+local ub_bY_`q' = r(ub)
+local lb_bY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2Y_`q' = r(p50)
+local ub2_bY_`q' = r(p75)
+local lb2_bY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bN_`q' = r(mean)
+local ub_bN_`q' = r(ub)
+local lb_bN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2N_`q' = r(p50)
+local ub2_bN_`q' = r(p75)
+local lb2_bN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bY_1 = r(mean)
+local ub_bY_1 = r(ub)
+local lb_bY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2Y_1 = r(p50)
+local ub2_bY_1 = r(p75)
+local lb2_bY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bN_1 = r(mean)
+local ub_bN_1 = r(ub)
+local lb_bN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2N_1 = r(p50)
+local ub2_bN_1 = r(p75)
+local lb2_bN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bN_7 = r(mean)
+local ub_bN_7 = r(ub)
+local lb_bN_7 = r(lb)
+local bN_8 = r(mean)
+local ub_bN_8 = r(ub)
+local lb_bN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2N_7 = r(p50)
+local b2N_8 = r(p50)
+local ub2_bN_7 = r(p75)
+local lb2_bN_7 = r(p25)
+local ub2_bN_8 = r(p75)
+local lb2_bN_8 = r(p25)
+}
+
+global vars mis_poverty_nat
+foreach var in $vars{
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==1, level(95)
+local bNY_`q' = r(mean)
+local ub_bNY_`q' = r(ub)
+local lb_bNY_`q' = r(lb)
+qui su `var' if var_`q'==1, detail
+local b2NY_`q' = r(p50)
+local ub2_bNY_`q' = r(p75)
+local lb2_bNY_`q' = r(p25)
+}
+forvalues q=2(1)8 {
+ci means `var' if var_`q'==0, level(95)
+local bNN_`q' = r(mean)
+local ub_bNN_`q' = r(ub)
+local lb_bNN_`q' = r(lb)
+qui su `var' if var_`q'==0, detail
+local b2NN_`q' = r(p50)
+local ub2_bNN_`q' = r(p75)
+local lb2_bNN_`q' = r(p25)
+}
+ci means `var' if var_1==1 & center!=1, level(95)
+local bNY_1 = r(mean)
+local ub_bNY_1 = r(ub)
+local lb_bNY_1 = r(lb)
+qui su `var' if var_1==1 & center!=1, detail
+local b2NY_1 = r(p50)
+local ub2_bNY_1 = r(p75)
+local lb2_bNY_1 = r(p25)
+ci means `var' if var_1==0 & center!=1, level(95)
+local bNN_1 = r(mean)
+local ub_bNN_1 = r(ub)
+local lb_bNN_1 = r(lb)
+qui su `var' if var_1==0 & center!=1, detail
+local b2NN_1 = r(p50)
+local ub2_bNN_1 = r(p75)
+local lb2_bNN_1 = r(p25)
+
+ci means `var' if sector_dummy==0 , level(95)
+local bNN_7 = r(mean)
+local ub_bNN_7 = r(ub)
+local lb_bNN_7 = r(lb)
+local bNN_8 = r(mean)
+local ub_bNN_8 = r(ub)
+local lb_bNN_8 = r(lb)
+qui su `var' if sector_dummy==0 , detail
+local b2NN_7 = r(p50)
+local b2NN_8 = r(p50)
+local ub2_bNN_7 = r(p75)
+local lb2_bNN_7 = r(p25)
+local ub2_bNN_8 = r(p75)
+local lb2_bNN_8 = r(p25)
+}
+preserve
+        clear
+        set obs 46
+        egen t = seq()
+		label define quintile 1 "Left-Wing" 2 "Right-Wing" 3 "Male" 4 "Female" 5 "Age 18-45" 6 "Age 46-69" 7 "Imm. Parent" 8 "No Imm. Parent" 9 "Rich" 10 "Not Rich" 11 "College" 12 "Not College" 13 "H.Sect.&L.Ed" 14 "H.Sect.&H.Ed" 15 "No H. Sect."
+		label values t quintile
+		replace t=t/3
+				
+        gen bY = .
+		gen bNY = .
+        gen ub_bY = .
+        gen lb_bY = .
+		gen ub_bNY = .
+        gen lb_bNY = .
+		gen bN = .
+		gen bNN = .
+        gen ub_bN = .
+        gen lb_bN = .
+		gen ub_bNN = .
+        gen lb_bNN = .		
+		gen n=_n
+		
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bY=`bY_`i'' if n==`q'
+		replace ub_bY=`ub_bY_`i'' if n==`q'
+		replace lb_bY=`lb_bY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 3
+	    forvalues i=1(1)6 {	
+		replace bNY=`bNY_`i'' if n==`q'
+		replace ub_bNY=`ub_bNY_`i'' if n==`q'
+		replace lb_bNY=`lb_bNY_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bN=`bN_`i'' if n==`q'
+		replace ub_bN=`ub_bN_`i'' if n==`q'
+		replace lb_bN=`lb_bN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+		local q = 6
+		forvalues i=1(1)6 {
+		replace bNN=`bNN_`i'' if n==`q'
+		replace ub_bNN=`ub_bNN_`i'' if n==`q'
+		replace lb_bNN=`lb_bNN_`i'' if n==`q'
+		local q = `q' + 6
+		}
+		
+	
+		replace bY=`bY_8' if n==39
+		replace ub_bY=`ub_bY_8' if n==39
+		replace lb_bY=`lb_bY_8' if n==39
+		
+		replace bN=`bY_7' if n==42
+		replace ub_bN=`ub_bY_7' if n==42
+		replace lb_bN=`lb_bY_7' if n==42
+		
+		replace bN=`bN_7' if n==45
+		replace ub_bN=`ub_bN_7' if n==45
+		replace lb_bN=`lb_bN_7' if n==45
+		
+		replace bNY=`bNY_8' if n==39
+		replace ub_bNY=`ub_bNY_8' if n==39
+		replace lb_bNY=`lb_bNY_8' if n==39
+		
+		replace bNN=`bNY_7' if n==42
+		replace ub_bNN=`ub_bNY_7' if n==42
+		replace lb_bNN=`lb_bNY_7' if n==42
+		
+		replace bNN=`bNN_7' if n==45
+		replace ub_bNN=`ub_bNN_7' if n==45
+		replace lb_bNN=`lb_bNN_7' if n==45
+
+	export delimited "$outdir/figure_7_r_data.csv", replace
+							
+restore
+
+* By country *
+
+gen var_perc = mis_poverty_imm
+
+gen var_nat = mis_poverty_nat
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_nat if country=="`x'", level(95)
+local m_nat`x' = r(mean)
+local lb_nat`x' = r(lb)
+local ub_nat`x' = r(ub)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_nat = .
+		gen lb_nat = .
+		gen ub_nat = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_nat=`m_nat`x'' if n==`q'
+		replace lb_nat=`lb_nat`x'' if n==`q'
+		replace ub_nat=`ub_nat`x'' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+	
+	export delimited "$outdir/figure_7_l_data.csv", replace
+				
+restore	
+
+drop var_perc var_nat
+
+
+********************
+* Figure 9 - Share of first and second gen immigrants
+*******************
+
+
+* By Country graph
+
+gen var_perc = perc_share_foreign
+
+gen var_real = share_foreign
+
+gen var_real_2 = share_foreign2
+
+
+
+*** Means of variables ***
+foreach x in US UK IT FR SE DE {	
+ci means var_perc if country=="`x'", level(95)
+*storing mean and confidence interval for perceived data
+local m_perc`x' = r(mean)
+local lb_perc`x' = r(lb)
+local ub_perc`x' = r(ub)
+ci means var_real if country=="`x'", level(95)
+local m_real`x' = r(mean)
+ci means var_real_2 if country=="`x'", level(95)
+local m_real`x'_2 = r(mean)
+qui su var_perc if country=="`x'", detail
+local md_perc`x' = r(p50)
+local p25`x' = r(p25)
+local p75`x' = r(p75)
+}
+
+
+preserve
+        clear
+        set obs 31
+        egen t = seq()
+		label define var 1 "Sweden"  2 "Germany" 3 "Italy" 4 "France" 5 "UK" 6 "US"
+		label values t var
+		replace t=t/5
+		
+		gen m_perc = .
+		gen md_perc = .
+		gen lb_perc = .
+		gen ub_perc = .
+		gen m_real = .
+		gen m_real_2 = .
+		gen p25 = .
+		gen p75 = .
+		
+		gen n=_n
+		
+		local q = 5
+		foreach x in SE DE IT FR UK US {
+		replace m_perc=`m_perc`x'' if n==`q'
+		replace md_perc=`md_perc`x'' if n==`q'
+		replace lb_perc=`lb_perc`x'' if n==`q'
+		replace ub_perc=`ub_perc`x'' if n==`q'
+		replace m_real=`m_real`x'' if n==`q'
+		replace m_real_2=`m_real`x'_2' if n==`q'
+		replace p25=`p25`x'' if n==`q'
+		replace p75=`p75`x'' if n==`q'
+		local q = `q' + 5
+		}
+		
+		
+	export delimited "$outdir/figure_9_data.csv", replace
+	
+
+			
+							
+restore	
+
+drop var_perc var_real var_real_2
+

37/replication_package/Do/Figures/Fig8.do

@@ -0,0 +1,244 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* Figure 8
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+
+global outdir "Out/Figures"
+
+* Load the data
+use "Data/survey_analysis.dta", clear
+
+* Countries included in the analysis
+global countries "US UK DE FR IT SE"
+
+* Generate flags - To ensure answers quality
+gen flag_1=0
+gen flag_2=0
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+* Drop respondents in bottom and top 2% of distribution of time spent on the survey
+keep if flag_1==0 & flag_2==0
+
+*Drop variable used to exclude inattentive respondents
+drop flag_1 flag_2 min_duration max_duration
+
+* Gen dummies for Categorical variables
+
+* Immigration is not a problem
+gen imm_not_problem=(q_imm_problem==16 | q_imm_problem==17)
+replace imm_not_problem=. if q_imm_problem==.
+la var imm_not_problem "The current number of immigrants is not a problem"
+	
+* When should immigrants be entitled to get benefits?
+gen imm_benefits_soon=(q_imm_benefits==1 | q_imm_benefits==2 | q_imm_benefits==4)
+replace imm_benefits_soon=. if q_imm_benefits==.
+la var imm_benefits_soon "Immigrants should get benefits in less than 3 years"
+
+* When should immigrants be allowed to apply for citizenship?
+gen imm_citizenship_soon=(q_imm_citizenship==1 | q_imm_citizenship==2)
+replace imm_citizenship_soon=. if q_imm_citizenship==.
+la var imm_citizenship_soon "Immigrants should get citizenship in 2 or 5 years"
+
+* When would you consider an immigrant "Truly American"?
+gen trully_american_cit=(q_imm_american==7 | q_imm_american==1 | q_imm_american==4)
+replace trully_american_cit=. if q_imm_american==.
+la var trully_american_cit "Consider American at citizenship or sooner"
+
+* Government should care about everyone
+gen govt_everyone=(q_govt_imm==7 | q_govt_imm==6)
+replace govt_everyone=. if q_govt_imm==.
+la var govt_everyone "The government should care equally about everyone"
+
+
+****************
+* Gen controls *
+****************
+
+
+* Gen Left-right variables
+* Based on vote or voting intensions
+gen left=(party_voted==4 | party_voted==5)
+replace left=. if party_voted==. | party_voted==6 | party_voted==0
+gen right=(party_voted==1 | party_voted==2)
+replace right=. if party_voted==. | party_voted==6 | party_voted==0
+gen center=(party_voted==3)
+replace center=. if party_voted==. | party_voted==6 | party_voted==0
+
+label var left "Left-wing"
+label var right "Right-wing"
+label var center "Center"
+
+foreach i in left right center{
+label val `i' binary
+}
+
+
+* Gen variables for HI sectors, with low/high educ
+gen sector_dummy_h=sector_dummy*university_degree
+gen sector_dummy_l=sector_dummy*(1-university_degree)
+
+
+*Young
+gen young=(age<45)
+
+
+gen US=(country=="US")
+gen UK=(country=="UK")
+gen IT=(country=="IT")
+gen SE=(country=="SE")
+gen DE=(country=="DE")
+gen FR=(country=="FR")
+
+
+
+* Keep control group only
+****************
+keep if control==1
+****************
+
+
+* Declare variables to be included in the graph 
+
+global imm_vars imm_not_problem imm_benefits_soon imm_citizenship_soon ///
+						trully_american_cit govt_everyone
+
+
+
+********** BY COUNTRY **********
+
+*** Means of variables ***
+foreach x in US UK FR IT DE SE {	
+foreach y in $imm_vars {
+su `y' if country=="`x'"
+local m`y'`x' = r(mean)
+}
+}
+
+
+preserve
+        clear
+        set obs 26
+        egen t = seq()
+		label define var 5 "Govt. should care about everyone" 4 "American upon citiz. or before" 3 "Imm. allowed to get citiz. soon" ///
+		2 "Imm. should get benefits soon" 1 "Imm. not a problem" 
+		label values t var
+		replace t=t/5
+		
+		
+        gen m_US = .
+		gen m_UK = .
+        gen m_FR = .
+        gen m_IT = .
+		gen m_DE = .
+        gen m_SE = .
+		
+		gen n=_n
+		foreach x in US UK FR IT DE SE {	
+		replace m_`x'=`mgovt_everyone`x'' if n==25
+		replace m_`x'=`mtrully_american_cit`x'' if n==20
+		replace m_`x'=`mimm_citizenship_soon`x'' if n==15
+		replace m_`x'=`mimm_benefits_soon`x'' if n==10
+		replace m_`x'=`mimm_not_problem`x'' if n==5
+		}
+
+
+	
+		twoway 	(scatter t m_US, mcolor(red) msize(large) lcolor(midblue) lpattern(solid) msymbol(D)) ///
+				(scatter t m_UK, mcolor(blue) msize(large) lcolor(red) lpattern(solid) msymbol(O)) ///
+				(scatter t m_FR, mcolor(dkgreen) msize(large) lcolor(red) lpattern(solid) msymbol(S)) ///
+				(scatter t m_IT, mcolor(orange) msize(large) lcolor(red) lpattern(solid) msymbol(T)) ///
+				(scatter t m_DE, mcolor(balck) msize(large) lcolor(red) lpattern(solid) msymbol(C)) ///
+				(scatter t m_SE, mcolor(purple) msize(vlarge) lcolor(midblue) lpattern(solid) msymbol(X)), ///
+                ytitle("") ylabel(1 2 3 4 5, value labsize(medium) angle(0) glcolor(gs16) noticks)  ///
+                legend(order(1 2 3 4 5 6) cols(3) label(1 "US") label(2 "UK") label(3 "France") label(4 "Italy") label(5 "Germany") label(6 "Sweden") size(2.3)) ///
+				xtitle("Share Answering Yes") ///
+				yline(1, lcolor(gs14) lpattern("-")) yline(2, lcolor(gs14) lpattern("-")) ///
+				yline(3, lcolor(gs14) lpattern("-")) yline(4, lcolor(gs14) lpattern("-")) ///
+				yline(5, lcolor(gs14) lpattern("-")) ///
+                graphregion(color(white)) plotregion(color(white))
+				graph export "$outdir/Figure_8_A.eps", as(eps) replace
+				
+restore		
+		
+
+********** BY CORE CHARACTERISTICS **********
+
+gen var_1 = left
+gen var_2 = right
+gen var_3 = university_degree
+gen var_4 = (1-university_degree)
+gen var_5 = sector_dummy_l
+gen var_6 = sector_dummy_h
+gen var_7 = (1-sector_dummy)
+
+*** Means of variables ***
+forval i=1(1)7 {	
+foreach y in $imm_vars {
+su `y' if var_`i'==1
+local `y'_m`i' = r(mean)
+}
+}
+
+
+preserve
+        clear
+        set obs 26
+        egen t = seq()
+		label define var 5 "Govt. should care about everyone" 4 "American upon citiz. or before" 3 "Imm. allowed to get citiz. soon" ///
+		2 "Imm. should get benefits soon" 1 "Imm. not a problem" 
+		label values t var
+		replace t=t/5
+		
+		forval i=1(1)7{
+        gen m_`i' = .
+		}
+		
+		*label define var 1 "" 2 "" 3 "" 4 "" 5 "" 
+
+		gen n=_n
+		
+		forval i=1(1)7 {	
+		replace m_`i'=`govt_everyone_m`i'' if n==25
+		replace m_`i'=`trully_american_cit_m`i'' if n==20
+		replace m_`i'=`imm_citizenship_soon_m`i'' if n==15
+		replace m_`i'=`imm_benefits_soon_m`i'' if n==10
+		replace m_`i'=`imm_not_problem_m`i'' if n==5
+		}
+
+
+	
+		twoway 	(scatter t m_1, mcolor(eltblue) msize(large) lcolor(eltblue) lpattern(solid) msymbol(S)) ///
+				(scatter t m_2, mcolor(maroon) msize(large) lcolor(maroon) lpattern(solid) msymbol(D)) ///
+				(scatter t m_3, mcolor(dkgreen) msize(large) lcolor(dkgreen) lpattern(solid) msymbol(C)) ///
+				(scatter t m_4, mcolor(yellow*1.3) msize(large) lcolor(yellow*1.3) lpattern(solid) msymbol(T)) ///
+				(scatter t m_5, mcolor(orange) msize(vlarge) lcolor(orange) lpattern(solid) msymbol(+) mlwidth(medthick)) ///
+				(scatter t m_6, mcolor(black) msize(huge) lcolor(black) lpattern(solid) msymbol(X) mlwidth(medthick)) ///
+				(scatter t m_7, mcolor(navy) msize(vlarge) lcolor(navy) lpattern(solid) msymbol(pipe) mlwidth(medthick)) , ///
+                ytitle("") ylabel(1 2 3 4 5, value labsize(medium) angle(0) glcolor(gs16) noticks)  ///
+                legend(order(1 2 3 4 5 6 7) cols(3) label(1 "Left-Wing") label(2 "Right-Wing") label(3 "College") label(4 "No College") label(5 "H Imm, No college") label(6 "H Imm, College") label(7 "No H Imm") size(2.2)) ///
+				xtitle("Share Answering Yes") xlabel(0(0.2)1) ///
+				yline(1, lcolor(gs14) lpattern("-")) yline(2, lcolor(gs14) lpattern("-")) ///
+				yline(3, lcolor(gs14) lpattern("-")) yline(4, lcolor(gs14) lpattern("-")) ///
+				yline(5, lcolor(gs14) lpattern("-")) ///
+				xlabel(0.1(0.2)0.7) ///
+                graphregion(color(white)) plotregion(color(white))
+				graph export "$outdir/Figure_8_B.eps", as(eps) replace
+				
+restore				
+		

37/replication_package/Do/Figures/Fig9.Rmd

@@ -0,0 +1,132 @@
+---
+title: "Figure 9"
+output: pdf_document
+---
+  
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = F, warning = F, message = F)
+```
+
+```{r, include = F, echo = F}
+# Importing Packages
+rm(list=ls())
+gc()
+library(tidyverse)
+library(extrafont)
+library(gtable)
+library(ggplot2)
+library(gridExtra)
+library(grid)
+library(cowplot)
+library(grDevices)
+loadfonts()
+```
+
+```{r}
+# SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+setwd("C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing") 
+
+# IMPORTING DATASET
+datafig_second_gen = read_csv('Out/Figures_data/figure_9_data.csv', show_col_types = FALSE)
+```
+
+```{r}
+# Function to Export Figures: SPECIFY DIRECTORY OF THE REPLICATION PACKAGE
+
+FigureExporter = function(Figure, Name, WhereFolderDraft = "C:/Users/Francesco/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"){
+  figure_name <- Name
+  figures_dir <- file.path(WhereFolderDraft, 'Out/Figures')
+  fig_path <- file.path(figures_dir, figure_name)
+  png(fig_path, width = 4800, height=2700, res = 720, type = c("cairo-png"))
+  Figure1 = Figure
+  print(Figure1)
+}
+```
+
+
+
+```{r}
+#Data Adjustment for cleaning (Left Panel) Function - Without Rescaling
+
+DataAdjustNoResc = function(data){
+  data = data[data$t %in% c("Sweden", "Germany", "Italy", "France", "UK", "US"), !(names(data) %in% "n")]
+  data$m_perc <- data$m_perc
+  data$m_real <- data$m_real
+  data <- transform(data,
+                    lbound = lb_perc,
+                    ubound = ub_perc)
+  
+  diff <- data %>% 
+    mutate(Max = max(m_perc, m_real),
+           Min = min(m_perc, m_real),
+           Diff = Max / Min - 1) %>% 
+    arrange(desc(Diff))
+  
+  ## Create difference between perception and real
+  data$diff <- (data$m_perc - data$m_real)/data$m_real
+  data_adj = data
+  data_adj
+}
+```
+
+
+#Figure 9
+
+```{r}
+# Data adjustment: rescaling not needed
+datafig_second_gen_adj = DataAdjustNoResc(datafig_second_gen) 
+
+# Function to generate the graph
+Left_10_B = function(xlb, xupb, distance_ticks){
+  data = datafig_second_gen_adj
+  
+  p <- ggplot(data, aes(x=t)) +
+    ## Plot segment joining and points
+    geom_segment(aes(x=t, xend=t, y=m_real, yend=m_perc), size = 0.4, color="black") +
+    geom_segment(aes(x=t, xend=t, y=lbound, yend=ubound), size = 2, color = rgb(0.7,0.2,0.1,0.3)) +
+    geom_point(aes(x=t, y=m_real_2, colour= 'Act. 1 & 2 Gen.', shape = 'Act. 1 & 2 Gen.'), size=4) +
+    geom_point(aes(x=t, y=m_real, colour='Act. 1 Gen.', shape = 'Act. 1 Gen.'), size=4) + 
+    geom_point(aes(x=t, y=m_perc, colour='Perceived (mean)', shape = 'Perceived (mean)'), size=3) +
+    coord_flip()
+  
+  ## Add theme, labels, and modify scale
+  myshapes <- c("my_b" = "15", "my_d" = "18")
+  p1 <- p + 
+    scale_y_continuous(limits = c(xlb, xupb), breaks = seq(xlb, xupb, by = distance_ticks)) +
+    theme_light() +
+    theme(
+      ## Control grid
+      panel.grid.major = element_line(linetype = 'dashed', color = 'darkgrey'),
+      panel.grid.major.y = element_line(linetype = 'solid', color = 'darkgrey'),
+      
+      ## Control legend
+      legend.position = "bottom",
+      legend.box = "horizontal",
+      legend.justification = c(0.5,0),
+      legend.title = element_blank(),
+      text = element_text(family = "LM Roman 10", color='black', size=11),
+      axis.text = element_text(colour = 'black'),
+      axis.text.x = element_text(size=9),
+      axis.text.y = element_text(size=9),
+      axis.title.x = element_text(size = 9, margin = margin(t=15)),
+      axis.ticks.x = element_blank()
+    ) +
+    scale_colour_manual(name = "", labels = c( "Act. 1 & 2 Gen.", 'Act. 1 Gen.','Perceived (mean)'), 
+                        values = c("Act. 1 & 2 Gen." = "#1A476F", 'Act. 1 Gen.' = "#0080FF", 
+                                   'Perceived (mean)' = rgb(0.7,0.2,0.1,1))) +
+    scale_shape_manual(name = "", labels = c("Act. 1 & 2 Gen.",'Act. 1 Gen.',  'Perceived (mean)'), 
+                       values = c( "Act. 1 & 2 Gen." = 20, 'Act. 1 Gen.' = 18, 'Perceived (mean)' = 15)) +
+    xlab("") +
+    ylab("Share of Immigrants") +
+    guides(col = guide_legend(nrow=2,byrow=TRUE))
+  p1}
+```
+
+```{r}
+# Generate Figure
+plot_grid(Left_10_B(0, 40, 5), labels=NULL, ncol=2, align='h', axis='b')
+
+# Export
+FigureExporter(plot_grid(Left_10_B(0, 40, 5), labels=NULL, ncol=2, align='h', axis='b'), "Figure_9.png")
+
+```

37/replication_package/Do/Tables/Tab1.do

@@ -0,0 +1,295 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* Table 1
+* You should install the command frmttable before running this dofile -- type "search frmttable" and select sg97_5
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+global outdir "Out/Tables"
+
+* Load the data
+use "Data/survey_analysis.dta", clear
+
+* Generate country dummies
+gen US=(country=="US")
+label var US "Answered the survey for the United States"
+gen UK=(country=="UK")
+label var UK "Answered the survey for the United Kingdom"
+gen Italy=(country=="IT")
+label var Italy "Answered the survey for Italy"
+gen Sweden=(country=="SE")
+label var Sweden "Answered the survey for Sweden"
+gen Germany=(country=="DE")
+label var Germany "Answered the survey for Germany"
+gen France=(country=="FR")
+label var France "Answered the survey for France"
+
+foreach i in US UK Italy Sweden Germany France{
+label val `i' binary
+}
+
+* Generate flags - To ensure answers quality
+
+* Time spent on the survey
+gen flag_1=0
+gen flag_2=0
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+* Time spent on videos
+global videos t1 t2 t3 
+
+foreach q in $videos{
+	
+bysort country: egen max_time_`q'= pctile(time_`q'), p(98)
+}
+
+foreach q in $videos{
+
+gen flag_time_max_`q'=(time_`q'> max_time_`q')
+replace flag_time_max_`q'=. if time_`q'==.
+
+}
+
+
+* Drop respondents that have spent too little or too much time on the survey (bottom/top 2%)
+keep if flag_1==0 & flag_2==0
+
+
+* Drop respondents who have spent too much time on the videos (top 2%)
+foreach q in $videos{
+
+drop if flag_time_max_`q'==1
+
+}
+
+* Drop the variables used to exclude inattentive respondents
+drop flag_1 flag_2 min_duration max_duration max_time_t1 max_time_t2 max_time_t3 flag_time_max_t1 flag_time_max_t2 flag_time_max_t3
+
+* Gen variables *
+
+* Gender
+gen male=(sex==1)
+label var male "Is a male"
+label val male binary
+
+* Age brackets
+gen age_1=(age>=18 & age<=29)
+label var age_1 "Is between 18 and 29"
+gen age_2=(age>=30 & age<=39)
+label var age_2 "Is between 30 and 39"
+gen age_3=(age>=40 & age<=49)
+label var age_3 "Is between 40 and 49"
+gen age_4=(age>=50 & age<=59)
+label var age_4 "Is between 50 and 59"
+gen age_5=(age>=60)
+label var age_5 "Is 60 or above"
+
+foreach i in 1 2 3 4 5{
+label val age_`i' binary
+}
+
+* Income brackets
+gen inc_bracket_1=0
+label var inc_bracket_1 "Is in the first income bracket"
+gen inc_bracket_2=0
+label var inc_bracket_2 "Is in the second income bracket"
+gen inc_bracket_3=0
+label var inc_bracket_3 "Is in the third income bracket"
+gen inc_bracket_4=0
+label var inc_bracket_4 "Is in the last income bracket"
+
+	* US
+	replace inc_bracket_1=1 if household_income<4 & US==1
+	replace inc_bracket_2=1 if (household_income==4 | household_income==5) & US==1
+	replace inc_bracket_3=1 if(household_income==6 | household_income==7) & US==1
+	replace inc_bracket_4=1 if household_income>7 & US==1
+	
+	* UK
+	replace inc_bracket_1=1 if income_q_UK==1 | income_q_UK==4 
+	replace inc_bracket_2=1 if income_q_UK==5 
+	replace inc_bracket_3=1 if income_q_UK==6
+	replace inc_bracket_4=1 if income_q_UK==7
+	
+	* FR
+	replace inc_bracket_1=1 if income_q_FR==1 | income_q_FR==4 
+	replace inc_bracket_2=1 if income_q_FR==5 
+	replace inc_bracket_3=1 if income_q_FR==3
+	replace inc_bracket_4=1 if income_q_FR==2 | income_q_FR==8
+	
+	* IT
+	replace inc_bracket_1=1 if income_q_IT==1 
+	replace inc_bracket_2=1 if income_q_IT==4 
+	replace inc_bracket_3=1 if income_q_IT==5
+	replace inc_bracket_4=1 if income_q_IT==3 | income_q_IT==2
+	
+	* DE
+	replace inc_bracket_1=1 if income_q_DE==1 | income_q_DE==4 
+	replace inc_bracket_2=1 if income_q_DE==5 | income_q_DE==3
+	replace inc_bracket_3=1 if income_q_DE==2
+	replace inc_bracket_4=1 if income_q_DE==8 | income_q_DE==9
+	
+	*SE
+	replace inc_bracket_1=1 if income_q_SE==1 
+	replace inc_bracket_2=1 if income_q_SE==5 
+	replace inc_bracket_3=1 if income_q_SE==4
+	replace inc_bracket_4=1 if income_q_SE==3
+
+foreach i in 1 2 3 4{
+label val inc_bracket_`i' binary
+}	
+	
+* Married dummy (=0 if "other")
+gen married=(marital_status==2)
+label var married "Is married"
+label val married binary
+
+* Gen employed
+gen employed=(employment<4)
+replace employed=. if employment==.
+label var employed "Is employed"
+label val employed binary
+
+* Gen unemployed
+gen unemployed=(employment==4)
+replace unemployed=. if employment==.
+label var unemployed "Is unemployed"
+label val unemployed binary
+
+
+
+******** Table 1: to check representativeness of the sample ******
+
+cap mata drop A
+
+* Gender
+foreach x in US UK France Italy Germany Sweden {
+su male if `x'==1
+local male`x' : display %5.2f `r(mean)'
+}
+matrix A=(`maleUS', 0.49,`maleUK', 0.48,`maleFrance', 0.49,`maleItaly', 0.50, `maleGermany', 0.49,  `maleSweden', 0.50)
+
+* Age
+foreach x in US UK France Italy Germany Sweden {
+su age_1 if `x'==1
+local age_1`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`age_1US', 0.24,`age_1UK', 0.26,`age_1France', 0.23,`age_1Italy', 0.19, `age_1Germany', 0.22, `age_1Sweden', 0.24)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su age_2 if `x'==1
+local age_2`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`age_2US', 0.20,`age_2UK', 0.19,`age_2France', 0.20,`age_2Italy', 0.22,`age_2Germany', 0.18, `age_2Sweden', 0.19)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su age_3 if `x'==1
+local age_3`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`age_3US', 0.19,`age_3UK', 0.21,`age_3France', 0.21,`age_3Italy', 0.23, `age_3Germany', 0.20,`age_3Sweden', 0.21)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su age_4 if `x'==1
+local age_4`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`age_4US', 0.20,`age_4UK', 0.18,`age_4France', 0.20,`age_4Italy', 0.19, `age_4Germany', 0.23,`age_4Sweden', 0.18)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su age_5 if `x'==1
+local age_5`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`age_5US', 0.17,`age_5UK', 0.16,`age_5France', 0.15,`age_5Italy', 0.17, `age_5Germany', 0.17,`age_5Sweden', 0.18)
+matrix A=A\B
+
+* Income
+foreach x in US UK France Italy Germany Sweden {
+su inc_bracket_1 if `x'==1
+local inc_bracket_1`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`inc_bracket_1US', 0.16,`inc_bracket_1UK', 0.31,`inc_bracket_1France', 0.32,`inc_bracket_1Italy', 0.27, `inc_bracket_1Germany', 0.26,`inc_bracket_1Sweden', 0.33)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su inc_bracket_2 if `x'==1
+local inc_bracket_2`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`inc_bracket_2US', 0.19,`inc_bracket_2UK', 0.35,`inc_bracket_2France', 0.30,`inc_bracket_2Italy',  0.28, `inc_bracket_2Germany', 0.29,`inc_bracket_2Sweden', 0.29)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su inc_bracket_3 if `x'==1
+local inc_bracket_3`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`inc_bracket_3US', 0.22,`inc_bracket_3UK', 0.11,`inc_bracket_3France', 0.14,`inc_bracket_3Italy', 0.19, `inc_bracket_3Germany', 0.23,`inc_bracket_3Sweden', 0.22)
+matrix A=A\B
+foreach x in US UK France Italy Germany Sweden {
+su inc_bracket_4 if `x'==1
+local inc_bracket_4`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`inc_bracket_4US', 0.43,`inc_bracket_4UK', 0.23,`inc_bracket_4France', 0.24,`inc_bracket_4Italy', 0.26, `inc_bracket_4Germany', 0.22,`inc_bracket_4Sweden', 0.17)
+matrix A=A\B
+
+
+* Married
+foreach x in US UK France Italy Germany Sweden {
+su married if `x'==1
+local married`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`marriedUS', 0.49,`marriedUK', 0.41,`marriedFrance', 0.46,`marriedItaly', 0.46, `marriedGermany', 0.46, `marriedSweden', 0.33)
+matrix A=A\B
+
+
+* Employed
+foreach x in US UK France Italy Germany Sweden {
+su employed if `x'==1
+local employed`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`employedUS', 0.70,`employedUK', 0.74,`employedFrance', 0.65,`employedItaly', 0.57, `employedGermany', 0.75, `employedSweden', 0.77)
+matrix A=A\B
+
+* Unemployed
+foreach x in US UK France Italy Germany Sweden {
+su unemployed if `x'==1
+local unemployed`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`unemployedUS', 0.05,`unemployedUK', 0.05,`unemployedFrance', 0.09,`unemployedItaly', 0.11, `unemployedGermany', 0.04,`unemployedSweden', 0.05)
+matrix A=A\B
+
+* University degree
+foreach x in US UK France Italy Germany Sweden {
+su university_degree if `x'==1
+local university`x' : display %5.2f `r(mean)'
+}
+cap mata drop B
+matrix B=(`universityUS', 0.41,`universityUK', 0.36,`universityFrance', 0.31,`universityItaly', 0.16, `universityGermany', 0.25, `universitySweden', 0.36)
+matrix A=A\B
+
+mat rownames A=male age_1 age_2 age_3 age_4 age_5 inc_bracket_1 inc_bracket_2 inc_bracket_3 inc_bracket_4 married employed unemployed university
+
+frmttable using "$outdir/summary_stats_sample_by_country_final.tex", statmat(A) tex fragment replace ///
+		ctitle("",US,"", UK,"", France,"", Italy,"", Germany, "", Sweden,""\"", Sample, Pop, Sample, Pop,Sample, Pop,Sample, Pop,Sample, Pop,Sample, Pop\"", "(1)", "(2)", "(3)", "(4)", "(5)", "(6)", "(7)", "(8)", "(9)", "(10)", "(11)", "(12)") ///
+		rtitle(Male\ 18-29 y.o.\30-39 y.o.\40-49 y.o.\50-59 y.o.\60-69 y.o.\Income Bracket 1 \Income Bracket 2 \Income Bracket 3 \Income Bracket 4\ Married\ Employed\ Unemployed\ College) ///
+		multicol(1,2,2;1,4,2;1,6,2;1,8,2;1,10,2;1,12,2) hlines(110100000000000001) noce

37/replication_package/Do/Tables/Tab2_3.do

@@ -0,0 +1,516 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* Tables 2 and 3
+* The command appendfile should be installed before running this dofile. Type "ssc install appendfile".
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+global outdir "Out/Tables"
+
+* Load survey + local data
+use "Data/survey_analysis.dta", clear
+
+* Countries included in the analysis
+global countries US IT FR DE SE UK
+
+* Generate flags - To ensure answers quality
+gen flag_1=0
+gen flag_2=0
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+
+* Drop respondents that have spent too little or too much time (top/bottom 2%)
+keep if flag_1==0 & flag_2==0
+
+*Drop variables that were used to exclude innatentive respondents
+drop flag_1 flag_2 min_duration max_duration
+
+* Add data on actual immigrants and non-immigrants statistics and generate misperceptions *
+do "Do/misperceptions.do"
+
+*** Keep only control group ***
+keep if control==1
+
+
+****************
+* Gen controls *
+****************
+
+
+* Gen Left-Right variables *
+
+* Based on vote or voting intensions
+gen left=(party_voted==4 | party_voted==5)
+replace left=. if party_voted==. | party_voted==6 | party_voted==0
+gen right=(party_voted==1 | party_voted==2)
+replace right=. if party_voted==. | party_voted==6 | party_voted==0
+gen center=(party_voted==3)
+replace center=. if party_voted==. | party_voted==6 | party_voted==0
+
+label var left "Left-wing"
+label var right "Right-wing"
+label var center "Center"
+
+foreach i in left right center{
+label val `i' binary
+}
+
+
+* Gen controls *
+
+* Young
+gen young=(age<45)
+label var young "Age 18-45"
+label val young binary
+
+* Gender
+gen female=(sex==2)
+label var female "Female"
+label val female binary
+
+* Immigrant parent
+gen immigrant_parent=(q_parent_same==2)
+replace immigrant_parent=. if q_parent_same==.
+label var immigrant_parent "Immigrant parent"
+label val immigrant_parent binary
+
+* Top income
+gen top_income=0
+foreach x in $countries{
+su household_income if country=="`x'", d
+replace top_income=1 if household_income>r(p75) & country=="`x'"
+}
+label var top_income "High Income"
+label val top_income binary
+
+* Gen variables for HI sectors, with college/no college
+gen sector_dummy_h=sector_dummy*university_degree
+gen sector_dummy_l=sector_dummy*(1-university_degree)
+
+label var sector_dummy_h "H. Imm. Sect. College"
+label var sector_dummy_l "H. Imm. Sect. No College"
+label val sector_dummy_h binary
+label val sector_dummy_l binary
+
+* Gen additional variables entering the indices
+
+* Dummy = 1 if Mohammad receives more on net from the state (either receives more transfers and pays same or less taxes or receives same transfers but pays less taxes)
+gen moh_more=(Moh_transfers<3 & Moh_tax>2)
+replace moh_more=1 if Moh_transfers==3 & Moh_tax>3
+replace moh_more=. if Moh_tax==. | Moh_transfers==.
+la var moh_more "Mohammad receives more transfers and/or pay less taxes than John"
+label val moh_more binary
+
+* Transfers
+gen imm_tra_more=(transfers_imm==10 | transfers_imm==11 |transfers_imm==12 |transfers_imm==13)
+la var imm_tra_more "Immigrants receive more transfers"
+replace imm_tra_more=. if transfers_imm==.
+label val imm_tra_more binary
+
+*******
+* Declare controls to be included in regressions *
+global controls_index right female young immigrant_parent university_degree top_income sector_dummy_l sector_dummy_h
+
+**********
+
+*** Gen indices ***
+* Cultural distance, Economic circumstances, Free riding *
+foreach var in mis_share_foreign mis_share_LA mis_share_AS mis_share_AF mis_share_E mis_share_NA  ///
+				mis_unemp_imm_nn mis_loweduc_imm_nn mis_higheduc_imm_nn effort_poor moh_more imm_tra_more{
+
+reg `var' $controls_index
+su `var' if e(sample)==1
+local `var'mc: display %5.3f `r(mean)'
+su `var' if e(sample)==1
+local `var'sdc: display %5.3f `r(sd)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==. // This is to avoid dropping entirely from the analysis respondents who have just one missing component of the index
+}
+
+
+gen culture_index = (mis_share_LA_ind + mis_share_AS_ind + mis_share_AF_ind - mis_share_E_ind - mis_share_NA_ind)/5
+
+gen econ_index = (mis_unemp_imm_nn_ind + mis_loweduc_imm_nn_ind - mis_higheduc_imm_nn_ind)/3
+
+gen free_riding_index = (effort_poor_ind + moh_more_ind + imm_tra_more_ind)/3
+
+foreach var in mis_share_foreign mis_share_LA mis_share_AS mis_share_AF mis_share_E mis_share_NA  ///
+				mis_unemp_imm_nn mis_higheduc_imm_nn effort_poor moh_more imm_tra_more mis_loweduc_imm_nn {
+					
+				drop `var'_ind
+				
+				}
+
+				
+			
+label var culture_index "Perceived cultural distance index"
+label var econ_index "Perceived economic weakness index"
+label var free_riding_index "Perceived free-riding index"
+				
+
+******
+* Gen actual local cultural distance index and other indices *
+foreach var in share_foreign_lc share_LatinAmerica_lc share_Asia_lc share_Africa_lc share_Europe_lc share_NorthAmerica_lc college_imm_lc loweduc_imm_lc unemp_imm_lc{
+				
+su `var'
+local `var'mc: display %5.3f `r(mean)'
+su `var'
+local `var'sdc: display %5.3f `r(sd)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==.
+}
+
+gen culture_index_act = (-share_LatinAmerica_lc_ind+share_Asia_lc_ind +share_Africa_lc_ind -share_Europe_lc_ind - share_NorthAmerica_lc_ind)/5
+
+gen econ_index_act = (loweduc_imm_lc_ind -college_imm_lc_ind +unemp_imm_lc_ind)/3
+
+drop share_foreign_lc_ind share_LatinAmerica_lc_ind share_Asia_lc_ind share_Africa_lc_ind share_Europe_lc_ind college_imm_lc_ind unemp_imm_lc_ind loweduc_imm_lc_ind share_NorthAmerica_lc_ind
+
+label var culture_index_act "Actual local cultural distance index"
+label var econ_index_act "Actual local economic circumstances index"
+
+* Standardize indices *
+foreach var in culture_index econ_index free_riding_index culture_index_act econ_index_act{
+	reg `var' $controls_index
+	su `var' if e(sample)==1
+	local `var'mc: display %5.3f `r(mean)'
+	local `var'sdc: display %5.3f `r(sd)'
+	replace `var'=(`var'-``var'mc')/``var'sdc'
+	}
+
+
+**********************************************************
+*** Table 2: Perception vs. Actual Indices 
+**********************************************************
+
+* Regressions *
+
+global table_name "$outdir/table_local_indices"
+
+* Table start
+file open holder using $table_name.tex, write replace text
+file write holder "\begin{tabular}{lcccc} " _n
+file write holder "\\ \\ & All & Perc. Cultural Distance & Perc. Econ. Weakness & Perc. Free Riding  \\" _n
+file write holder "& Immigrants (misp.) & Index & Index & Index  \\" _n
+file write holder "& (1) & (2) & (3) & (4) \\ \hline" _n
+file close holder
+* Table end
+file open holder using temp_end.tex, write replace text
+file write holder "\hline \end{tabular}" _n
+file close holder
+
+
+
+eststo clear
+foreach var in mis_share_foreign{
+eststo: xi: reg `var' share_foreign_lc $controls_index i.country, robust
+su `var' if e(sample)==1
+local `var'mc: display %5.2f `r(mean)'
+}
+
+foreach var in culture_index{
+eststo: xi: reg `var' culture_index_act $controls_index i.country, robust
+su `var' if e(sample)==1
+local `var'mc: display %5.2f abs(`r(mean)') // Abs is used to correct stata's rounding error
+}
+
+foreach var in econ_index{
+eststo: xi: reg `var' econ_index_act $controls_index i.country, robust
+su `var' if e(sample)==1
+local `var'mc: display %5.2f abs(`r(mean)')
+}
+
+foreach var in free_riding_index{
+eststo: xi: reg `var' $controls_index i.country, robust
+su `var' if e(sample)==1
+local `var'mc: display %5.2f abs(`r(mean)')
+}
+
+
+esttab using temp1.tex, replace fragment booktabs keep(share_foreign_lc culture_index_act econ_index_act $controls_index) order(share_foreign_lc culture_index_act econ_index_act $controls_index) noconst  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+
+* Table middle
+file open holder using temp_mid1.tex, write replace text
+file write holder "Control mean & `mis_share_foreignmc' & `culture_indexmc' & `econ_indexmc' & `free_riding_indexmc'  \\" _n
+file close holder
+
+
+appendfile temp1.tex $table_name.tex
+appendfile temp_mid1.tex $table_name.tex
+appendfile temp_end.tex $table_name.tex
+
+
+erase temp1.tex
+erase temp_end.tex
+erase temp_mid1.tex
+
+
+*******************************************
+* Table 3: Correlation matrix
+*******************************************
+
+global controls right female young immigrant_parent university_degree top_income sector_dummy_l sector_dummy_h
+
+global Y perc_share_foreign perch_share_LA perc_share_AF perc_share_AS perc_share_E perc_share_NA perc_unemp_imm perc_loweduc_imm perc_higheduc_imm
+
+global X share_foreign_lc share_LatinAmerica_lc share_Asia_lc share_Africa_lc share_Europe_lc college_imm_lc unemp_imm_lc unemp_nat_lc college_nat_lc poor_lc black_cz hispanic_cz
+
+preserve
+
+* Perceptions
+gen perc1 = perc_share_foreign
+gen perc2 = perc_share_LA
+gen perc3 = perc_share_AF
+gen perc4 = perc_share_AS
+gen perc5 = perc_share_E
+gen perc6 = perc_unemp_imm
+gen perc7 = perc_loweduc_imm
+gen perc8 = perc_higheduc_imm
+
+	* National only
+gen perc9 = perc_poverty_imm
+gen perc10 = perc_share_mu
+
+
+* Actual local
+gen act_l1 = share_foreign_lc
+gen act_l2 = share_LatinAmerica_lc
+gen act_l3 = share_Africa_lc
+gen act_l4 = share_Asia_lc
+gen act_l5 = share_Europe_lc
+gen act_l6 = unemp_imm_lc
+gen act_l7 = loweduc_imm_lc
+gen act_l8 = college_imm_lc
+
+gen act_natl6 = unemp_nat_lc
+gen act_natl7 = loweduc_nat_lc
+gen act_natl8 = college_nat_lc
+gen act_natl9 = poor_lc
+
+gen act_diffl6 = unemp_imm_lc - unemp_nat_lc
+gen act_diffl7 = loweduc_imm_lc - loweduc_nat_lc
+gen act_diffl8 = college_imm_lc - college_nat_lc
+
+* Actual national
+gen act_n1 = share_foreign
+gen act_n2 = share_LA
+gen act_n3 = share_NAF + share_SA
+gen act_n4 = share_ME + share_A
+gen act_n5 = share_WE + share_EE
+gen act_n6 = unemp_imm
+gen act_n7 = loweduc_imm
+gen act_n8 = higheduc_imm
+
+gen act_n9 = poverty_imm
+gen act_n10 = share_muslim
+
+gen act_natn6 = unemp_nat
+gen act_natn7 = loweduc_nat
+gen act_natn8 = higheduc_nat
+gen act_natn9 = poverty_nat
+
+gen act_diffn6 = unemp_imm - unemp_nat
+gen act_diffn7 = loweduc_imm - loweduc_nat
+gen act_diffn8 = higheduc_imm - higheduc_nat
+gen act_diffn9 = poverty_imm - poverty_nat
+
+
+* Natives
+
+* Perceptions
+gen percn1 = perc_unemp_nat
+gen percn2 = perc_loweduc_nat
+gen percn3 = perc_higheduc_nat
+gen percn4 = perc_poverty_nat
+
+* Actual local
+gen actn_l1 = unemp_nat_lc
+gen actn_l2 = loweduc_nat_lc
+gen actn_l3 = college_nat_lc
+gen actn_l4 = poor_lc
+
+* Actual national
+gen actn_n1 = unemp_nat
+gen actn_n2 = loweduc_nat
+gen actn_n3 = higheduc_nat
+gen actn_n4 = poverty_nat
+
+
+
+* Regressions *
+global table_name "$outdir/corr_matrix"
+
+* Table start
+file open holder using $table_name.tex, write replace text
+file write holder "\begin{tabular}{lcccccccccc} " _n
+file write holder "& \multicolumn{8}{l}{\textbf{Panel A: Correlation of Perceived Immigrants Characteristics with Actual Immigrants Characteristics}} \\" _n
+file write holder "& Share of 	& Imm. from Latin   & Imm. from & Imm. from 	& Imm. from   & Unemployment  & No High 	& College-educated  & Poverty 		& Muslim  \\" _n
+file write holder "& Immigrants & America 			& Africa 	& Asia 			& Europe 	  & Imm. 		  & School Imm. & Imm. 			 	& Imm. 			& Imm. \\" _n
+file write holder "& (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) & (10) \\ \hline" _n
+file close holder
+* Table end
+file open holder using temp_end.tex, write replace text
+file write holder "\hline \end{tabular}" _n
+file close holder
+
+* Local
+gen act_l=.
+label var act_l "Local correlation"
+
+eststo clear
+forval i=1(1)8 {
+replace act_l=act_l`i'
+eststo: xi: reg perc`i' act_l $controls i.country, robust
+}
+esttab using temp_1.tex, replace fragment booktabs keep(act_l) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* National
+gen act_n=.
+label var act_n "National correlation"
+
+eststo clear
+forval i=1(1)10 {
+replace act_n=act_n`i'
+eststo: xi: reg perc`i' act_n $controls, robust
+}
+esttab using temp_2.tex, replace fragment booktabs keep(act_n) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* Table middle
+file open holder using temp_mid1.tex, write replace text
+file write holder "\\ & \multicolumn{10}{l}{\textbf{Panel B: Correlation of Perceived Immigrants Characteristics with Actual Non-immigrants Characteristics}} \\" _n
+file write holder "& Unemployment 	& No High 			& College-educated 	& Poverty  \\" _n
+file write holder "& Imm. 			& School Imm. 		& Imm. 				& Imm. \\" _n
+file write holder "& (1) & (2) & (3) & (4) \\ \hline" _n
+file close holder
+
+* Natives - Local
+gen act_natl=.
+label var act_natl "Local correlation"
+eststo clear
+forval i=6(1)9 {
+replace act_natl=act_natl`i'
+eststo: xi: reg perc`i' act_natl $controls i.country, robust
+}
+esttab using temp_3.tex, replace fragment booktabs keep(act_natl) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+
+* Natives - National
+gen act_natn=.
+label var act_natn "National correlation"
+eststo clear
+forval i=6(1)9 {
+replace act_natn=act_natn`i'
+eststo: xi: reg perc`i' act_natn $controls, robust
+}
+esttab using temp_4.tex, replace fragment booktabs keep(act_natn) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* Table middle
+file open holder using temp_mid2.tex, write replace text
+file write holder "\\ & \multicolumn{10}{l}{\textbf{Panel C: Correlation of Perceived Immigrants Characteristics with Actual Immigrants - Non-immigrants Differences}} \\" _n
+file write holder "& Unemployment 	& No High 		& College-educated		& Poverty  \\" _n
+file write holder "& Imm. 			& School Imm. 	& Imm.			 		& Imm. \\" _n
+file write holder "& (1) & (2) & (3) & (4) \\ \hline" _n
+file close holder
+
+* Imm-Natives diff - Local
+gen act_diffl=.
+label var act_diffl "Local correlation"
+eststo clear
+forval i=6(1)8 {
+replace act_diffl=act_diffl`i'
+eststo: xi: reg perc`i' act_diffl $controls i.country, robust
+}
+esttab using temp_5.tex, replace fragment booktabs keep(act_diffl) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+
+* Imm-Natives diff - National
+gen act_diffn=.
+label var act_diffn "National correlation"
+eststo clear
+forval i=6(1)9 {
+replace act_diffn=act_diffn`i'
+eststo: xi: reg perc`i' act_diffn $controls, robust
+}
+esttab using temp_6.tex, replace fragment booktabs keep(act_diffn) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+
+** Natives **
+
+* Table middle
+file open holder using temp_mid3.tex, write replace text
+file write holder "\\ & \multicolumn{10}{l}{\textbf{Panel D: Correlation of Perceived Non-immigrants Characteristics with Actual Non-immigrants Characteristics}} \\" _n
+file write holder "& Unemployment 	& No High 		& College-educated 	& Poverty  \\" _n
+file write holder "& Nat. 			& School Nat. 	& Nat. 				& Nat. \\" _n
+file write holder "& (1) & (2) & (3) & (4) \\ \hline" _n
+file close holder
+
+* Local
+gen actn_l=.
+label var actn_l "Local correlation"
+
+eststo clear
+forval i=1(1)4 {
+replace actn_l=actn_l`i'
+eststo: xi: reg percn`i' actn_l $controls i.country, robust
+}
+esttab using temp_7.tex, replace fragment booktabs keep(actn_l) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* National
+gen actn_n=.
+label var actn_n "National correlation"
+
+eststo clear
+forval i=1(1)4 {
+replace actn_n=actn_n`i'
+eststo: xi: reg percn`i' actn_n $controls, robust
+}
+esttab using temp_8.tex, replace fragment booktabs keep(actn_n) noconst noobs  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+
+appendfile temp_1.tex $table_name.tex
+appendfile temp_2.tex $table_name.tex
+appendfile temp_mid1.tex $table_name.tex
+appendfile temp_3.tex $table_name.tex
+appendfile temp_4.tex $table_name.tex
+appendfile temp_mid2.tex $table_name.tex
+appendfile temp_5.tex $table_name.tex
+appendfile temp_6.tex $table_name.tex
+appendfile temp_mid3.tex $table_name.tex
+appendfile temp_7.tex $table_name.tex
+appendfile temp_8.tex $table_name.tex
+appendfile temp_end.tex $table_name.tex
+
+
+forval i=1(1)8{
+erase temp_`i'.tex
+}
+erase temp_mid1.tex
+erase temp_mid2.tex
+erase temp_mid3.tex
+erase temp_end.tex
+
+restore

37/replication_package/Do/Tables/Tab4to6.do

@@ -0,0 +1,397 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* Tables 4, 5 and 6
+* You should install winsor2 and appendfile before running this dofile. Type "ssc install winsor2" and "ssc install appendfile".
+**********
+
+clear all
+
+* Specify directory of the replication package
+global dir "/Users/armandomiano/Dropbox/AMS_Redistribution/Data/Survey_Data/Replication RESTUD sharing"
+cd "$dir"
+
+* Declare output sub-directory
+global outdir "Out/Tables"
+
+* Load survey data
+use "Data/survey_analysis.dta", clear
+
+* Countries included in the analysis
+global countries "US UK DE FR IT SE"
+
+* Generate flags - To ensure answers quality
+global videos t1 t2 t3
+
+gen flag_1=0
+gen flag_2=0
+
+bysort country treatment_recod: egen min_duration = pctile(duration), p(2)
+bysort country treatment_recod: egen max_duration = pctile(duration), p(98)
+
+replace flag_1=1 if duration<min_duration
+replace flag_2=1 if duration>max_duration
+
+
+* Time spent on each video
+
+* Gen time (in seconds) spent on each video treatment - based on page submit 
+foreach q in $videos{
+
+bysort country: egen max_time_`q'= pctile(time_`q'), p(98)
+}
+
+foreach q in $videos{
+
+gen flag_time_max_`q'=(time_`q'> max_time_`q')
+replace flag_time_max_`q'=. if time_`q'==.
+
+}
+
+* Drop respondents that have spent too little or too much time (bottom/top 2%)
+keep if flag_1==0 & flag_2==0
+
+
+* Drop respondents who have spent too much time on the videos (top 2%)
+foreach q in $videos{
+
+drop if flag_time_max_`q'==1
+
+}
+
+* Drop the variables used to exclude inattentive respondents
+drop flag_1 flag_2 min_duration max_duration max_time_t1 max_time_t2 max_time_t3 flag_time_max_t1 flag_time_max_t2 flag_time_max_t3
+
+
+* Add data on actual immigrants statistics and generate misperceptions *
+do "Do/misperceptions.do"
+
+* Share of all immigrants for the US (legal and undocumented)
+replace share_foreign=13.5 if country=="US"
+
+* Redefing misperception share of all immigrants for the US, to keep into account above correction
+replace mis_share_foreign=perc_share_foreign-share_foreign if country=="US"
+
+****** Gen dummy for (almost) accurate perception of immigration
+
+gen accurate_share_foreign=0
+replace accurate_share_foreign=1 if mis_share_foreign>-1 & mis_share_foreign<1
+replace  accurate_share_foreign=. if mis_share_foreign==. 
+label var accurate_share_foreign "Accurate perception of the share of immigrants"
+label val accurate_share_foreign binary
+
+* Gen additional outcome variables
+
+* Immigration is not a problem
+gen imm_not_problem=(q_imm_problem==16 | q_imm_problem==17)
+replace imm_not_problem=. if q_imm_problem==.
+la var imm_not_problem "Immigration is not a problem"
+label val imm_not_problem binary
+
+* When should immigrants be entitled to get benefits?
+gen imm_benefits_soon=(q_imm_benefits==1 | q_imm_benefits==2 | q_imm_benefits==4)
+replace imm_benefits_soon=. if q_imm_benefits==.
+la var imm_benefits_soon "Immigrants should get benefits in less than 3 years"
+label val imm_benefits_soon binary
+
+* When should immigrants be allowed to apply for citizenship?
+gen imm_citizenship_soon=(q_imm_citizenship==1 | q_imm_citizenship==2)
+replace imm_citizenship_soon=. if q_imm_citizenship==.
+la var imm_citizenship_soon "Immigrants should get citizenship in 2 or 5 years"
+label val imm_citizenship_soon binary
+
+* When would you consider an immigrant "Truly American"?
+gen trully_american_cit=(q_imm_american==7 | q_imm_american==1 | q_imm_american==4)
+replace trully_american_cit=. if q_imm_american==.
+la var trully_american_cit "Consider American at citizenship or sooner"
+label val trully_american_cit binary
+
+*Budget allocation
+winsor2 budget_safetynet budget_health budget_education, s(_w) c(5 95) by(country)
+la var budget_safetynet_w "% of the budget assigned to Income Support Program (winsorized)"
+la var budget_health_w "% of the budget assigned to Public Spending on Health (winsorized)"
+la var budget_education_w "% of the budget assigned to Spending on Schooling (winsorized)"
+
+gen budget_social_w = budget_health_w + budget_safetynet_w
+la var budget_social_w "% of the budget assigned to Income Support Program and Health (winsorized)"
+
+* Inequality is a serious problem
+gen ineq_problem_ser=(q_inequality_problem==4 | q_inequality_problem==5)
+replace ineq_problem_ser=. if q_inequality_problem==.
+la var ineq_problem_ser "Inequality is a serious problem"
+label val ineq_problem_ser binary
+
+* Total donation above 50th percentile within country
+gen total_donation_d=0
+foreach x in $countries {
+su total_donation if country=="`x'", d
+replace total_donation_d=1 if total_donation>r(p50) & country=="`x'"
+}
+replace total_donation_d=. if total_donation==.
+
+la var total_donation_d "Donated more than the median of the country of reference"
+label val total_donation_d binary
+
+
+****************
+* Gen controls *
+****************
+
+* Gen Left-right variables, based on vote or voting intentions *
+gen left=(party_voted==4 | party_voted==5)
+replace left=. if party_voted==. | party_voted==6 | party_voted==0
+gen right=(party_voted==1 | party_voted==2)
+replace right=. if party_voted==. | party_voted==6 | party_voted==0
+gen center=(party_voted==3)
+replace center=. if party_voted==. | party_voted==6 | party_voted==0
+
+label var left "Left-wing"
+label var right "Right-wing"
+label var center "Center"
+
+foreach i in left right center{
+label val `i' binary
+}
+
+*Young
+gen young=(age<45)
+label var young "Is less than 45"
+label val young binary
+
+* Gender
+gen male=(sex==1)
+label var male "Male"
+label val male binary
+
+* Children dummy
+gen children=(number_children>1)
+replace children=. if number_children==.
+label var children "Has children"
+label val children binary
+
+* Immigrant parent
+gen immigrant_parent=(q_parent_same==2)
+replace immigrant_parent=. if q_parent_same==.
+label var immigrant_parent "At least one of the parents is an immigrant"
+label val immigrant_parent binary
+
+* Top income
+gen top_income=0
+foreach x in $countries{
+su household_income if country=="`x'", d
+replace top_income=1 if household_income>r(p75) & country=="`x'"
+}
+label var top_income "High Income"
+label val top_income binary
+
+* Immigration block first
+label var immigfirst "Order/Salience T"
+
+* Gen interacted treatments
+gen treatment1_if = treatment1*immigfirst
+gen treatment2_if = treatment2*immigfirst
+gen treatment3_if = treatment3*immigfirst
+label var treatment1_if "Share of Immigrants Treatment and saw first the Immigration Block"
+label var treatment2_if "Origin of Immigrants Treatment and saw first the Immigration Block"
+label var treatment3_if "Hard Work Treatment and saw first the Immigration Block"
+
+foreach i in 1 2 3{
+label val treatment`i'_if binary
+}
+
+
+********************************************
+* Declare variables to be used as controls *
+********************************************
+
+
+global controls right left male young immigrant_parent children university_degree top_income sector_dummy
+
+
+*******************************************************
+* Declare variables to be included in the regressions *
+*******************************************************
+
+global treatments_int treatment1 treatment2 treatment3 treatment1_if treatment2_if treatment3_if
+
+global treatments treatment1 treatment2 treatment3
+
+global X $treatments $controls  i.country 
+
+global X_int immigfirst $treatments_int $controls  i.country 
+
+
+****************
+***  TABLE 4: Second Stage -  Support for Redistribution & Order treatment ***
+****************
+
+global table_name "$outdir/table_2stage_redistribution"
+	
+****************
+
+* Table start
+file open holder using $table_name.tex, write replace text
+file write holder "\begin{tabular}{lcccccc} " _n
+file write holder "& Tax & Tax & Social & Education & Inequality & Donation \\" _n
+file write holder "& Top 1 & Bottom 50  & Budget & Budget & Serious Problem & Above Median \\" _n
+file write holder "& (1) & (2) & (3) & (4) & (5) & (6) \\ \hline" _n
+file close holder
+* Table end
+file open holder using temp_end.tex, write replace text
+file write holder "\hline \end{tabular}" _n
+file close holder
+
+
+eststo clear
+
+foreach var in tax_top1 tax_bottom50 budget_social_w budget_education_w ineq_problem_ser total_donation_d{
+eststo: xi: reg `var'  $X_int, robust
+su `var' if e(sample)==1 & control==1 & immigfirst==0
+local `var'mc: display %5.2f `r(mean)'
+}
+esttab using temp_all_2.tex, replace fragment booktabs keep(immigfirst $treatments) order(immigfirst $treatments) noconst  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* Table middle
+file open holder using temp_mid3.tex, write replace text
+file write holder "Control mean & `tax_top1mc' & `tax_bottom50mc' & `budget_social_wmc' & `budget_education_wmc' & `ineq_problem_sermc' & `total_donation_dmc'     \\" _n
+file close holder
+
+
+appendfile temp_all_2.tex $table_name.tex
+appendfile temp_mid3.tex $table_name.tex
+appendfile temp_end.tex $table_name.tex
+
+
+
+erase temp_all_2.tex 
+erase temp_mid3.tex 
+erase temp_end.tex
+
+
+*****************
+***  TABLE 5: First Stage  ***
+*****************
+
+global table_name "$outdir/table_1stage"
+
+* Table start
+file open holder using $table_name.tex, write replace text
+file write holder "\begin{tabular}{lccccccc} " _n
+file write holder "& All  & Accurate Perception  &  M. East and & N. America, W. and  & Muslim & Christian & Lack of Effort \\" _n
+file write holder "& Immigrants & All Immigrants  & N. Africa & E. Europe  &  & & Reason Poor \\" _n
+file write holder "& (misp.) & & (misp.) & (misp.) & (misp.) & (misp.) & \\" _n
+file write holder "& (1) & (2) & (3) & (4) & (5) & (6) & (7) \\ \hline" _n
+file close holder
+* Table end
+file open holder using temp_end.tex, write replace text
+file write holder "\hline \end{tabular}" _n
+file close holder
+
+
+eststo clear
+foreach var in mis_share_foreign accurate_share_foreign mis_share_ME_NAF mis_share_NA_WE_EE mis_share_mu mis_share_ch effort_poor{
+eststo: xi: reg `var' $X, robust
+su `var' if e(sample)==1 & control==1
+local `var'mc: display %5.2f `r(mean)'
+}
+esttab using temp_all.tex, replace fragment booktabs keep($treatments) noconst  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* Table middle
+file open holder using temp_mid1.tex, write replace text
+file write holder "Control mean & `mis_share_foreignmc'  & `accurate_share_foreignmc' & `mis_share_ME_NAFmc' & `mis_share_NA_WE_EEmc' & `mis_share_mumc' & `mis_share_chmc' & `effort_poormc'     \\" _n
+file close holder
+
+
+appendfile temp_all.tex $table_name.tex
+appendfile temp_mid1.tex $table_name.tex
+appendfile temp_end.tex $table_name.tex
+
+
+erase temp_all.tex 
+erase temp_end.tex
+erase temp_mid1.tex
+
+
+********
+* Table 6: Second Stage - Support for Immigration
+*********
+
+global table_name "$outdir/table_2stage_immigration"
+
+
+*** Gen Immigration support index
+
+foreach var in imm_not_problem imm_benefits_soon imm_citizenship_soon ///
+						trully_american_cit q_govt_imm  {
+xi: reg `var' $X
+su `var' if e(sample)==1 & control==1
+local `var'mc: display %5.3f `r(mean)'
+su `var' if e(sample)==1 & control==1
+local `var'sdc: display %5.3f `r(sd)'
+su `var' if e(sample)==1 & treatment1==1
+local `var'mt1: display %5.3f `r(mean)'
+su `var' if e(sample)==1 & treatment2==1
+local `var'mt2: display %5.3f `r(mean)'
+su `var' if e(sample)==1 & treatment3==1
+local `var'mt3: display %5.3f `r(mean)'
+gen `var'_ind=(`var'-``var'mc')/``var'sdc'
+replace `var'_ind=(``var'mc'-``var'mc')/``var'sdc' if `var'==. & control==1
+replace `var'_ind=(``var'mt1'-``var'mc')/``var'sdc' if `var'==. & treatment1==1
+replace `var'_ind=(``var'mt2'-``var'mc')/``var'sdc' if `var'==. & treatment2==1
+replace `var'_ind=(``var'mt3'-``var'mc')/``var'sdc' if `var'==. & treatment3==1
+}
+
+gen index_imm_support=(imm_benefits_soon_ind + imm_citizenship_soon_ind ///
+						+trully_american_cit_ind + q_govt_imm_ind +imm_not_problem_ind)/5					
+
+				
+drop imm_not_problem_ind imm_benefits_soon_ind imm_citizenship_soon_ind ///
+						trully_american_cit_ind q_govt_imm_ind
+
+* Standardize resulting index
+xi: reg index_imm_support $X
+su index_imm_support if e(sample)==1 & control==1
+local index_imm_supportmc: display %5.3f `r(mean)'
+local index_imm_supportsdc: display %5.3f `r(sd)'
+replace index_imm_support = (index_imm_support - `index_imm_supportmc')/`index_imm_supportsdc'
+
+* Table start
+file open holder using $table_name.tex, write replace text
+file write holder "\begin{tabular}{lcccccc} " _n
+file write holder "& Imm. Not & Imm. Benefits & Imm. Citizenship & American  & Govt. Should care & Imm Support \\" _n
+file write holder "& A Problem & Soon & Soon & Upon Citizenship/Before & About Everyone & Index \\" _n
+file write holder "& (1) & (2) & (3) & (4) & (5) & (6) \\ \hline" _n
+file close holder
+* Table end
+file open holder using temp_end.tex, write replace text
+file write holder "\hline \end{tabular}" _n
+file close holder
+
+eststo clear
+foreach var in imm_not_problem imm_benefits_soon imm_citizenship_soon ///
+						trully_american_cit q_govt_imm index_imm_support{
+eststo: xi: reg `var'  $X, robust
+su `var' if e(sample)==1 & control==1
+local `var'mc: display %5.2f `r(mean)'
+}
+esttab using temp_all.tex, replace fragment booktabs keep($treatments) noconst  label /// 
+star(* .1 ** .05 *** .01) se nonumbers nomtitles nolines nocon compress
+
+* Table middle
+file open holder using temp_mid1.tex, write replace text
+file write holder "Control mean & `imm_not_problemmc'  & `imm_benefits_soonmc' & `imm_citizenship_soonmc' & `trully_american_citmc' & `q_govt_immmc' & `index_imm_supportmc'   \\" _n
+file close holder
+
+
+appendfile temp_all.tex $table_name.tex
+appendfile temp_mid1.tex $table_name.tex
+appendfile temp_end.tex $table_name.tex
+
+
+erase temp_all.tex 
+erase temp_mid1.tex 
+erase temp_end.tex

37/replication_package/Do/misperceptions.do

@@ -0,0 +1,316 @@
+**********
+* Immigration and Redistribution
+* Alesina, Miano, Stantcheva
+* RESTUD
+
+* This file generates the variables for the actual statistics on immigrants and non-immigrants (natives) and computes misperceptions (perceived - actual)
+* See the Appendix for all the details on the sources and computations of the actual statistics
+**********
+
+** Share of foreign-born ***
+gen share_foreign=.
+la var share_foreign "Actual share of foreign born"
+replace share_foreign=14.8 if country=="DE"
+replace share_foreign=12.2 if country=="FR"
+replace share_foreign=10 if country=="IT"
+replace share_foreign=13.4 if country=="UK"
+replace share_foreign=10 if country=="US"
+replace share_foreign=17.6 if country=="SE"
+
+** Share of second-generation immigrants ***
+gen share_second_gen=.
+la var share_second_gen "Actual share of second-gen. immigrants"
+replace share_second_gen=7.4 if country=="DE"
+replace share_second_gen=11 if country=="FR"
+replace share_second_gen=2.4 if country=="IT"
+replace share_second_gen=9.2 if country=="UK"
+replace share_second_gen=15.4 if country=="US" // Also including 3.5 illegal immigrants
+replace share_second_gen=13 if country=="SE"
+
+**********
+* Share of immigrants from each area
+gen share_NA=.
+la var share_NA "Actual share imm. from North America"
+gen share_LA=.
+la var share_LA "Actual share imm. from Latin America"
+gen share_WE=.
+la var share_WE "Actual share imm. from Western Europe"
+gen share_EE=.
+la var share_EE "Actual share imm. from Eastern Europe"
+gen share_NAF=.
+la var share_NAF "Actual share imm. from North Africa"
+gen share_SA=.
+la var share_SA "Actual share imm. from Sub-Saharan Africa"
+gen share_ME=.
+la var share_ME "Actual share imm. from Middle East"
+gen share_A=.
+la var share_A "Actual share imm. from Asia"
+gen share_O=.
+la var share_O "Actual share imm. from Oceania"
+
+* United States
+replace share_NA=2.3 if country=="US"
+replace share_LA=42.3 if country=="US"
+replace share_WE=7.7 if country=="US"
+replace share_EE=6.1 if country=="US"
+replace share_NAF=0.3 if country=="US"
+replace share_SA=4.8 if country=="US"
+replace share_ME=4.1 if country=="US"
+replace share_A=32.1 if country=="US"
+replace share_O=0.7 if country=="US"
+
+* UK
+replace share_NA=2.3 if country=="UK"
+replace share_LA=3.9 if country=="UK"
+replace share_WE=19.0 if country=="UK"
+replace share_EE=20.0 if country=="UK"
+replace share_NAF=0.9 if country=="UK"
+replace share_SA=16.0 if country=="UK"
+replace share_ME=5.1 if country=="UK"
+replace share_A=30.1 if country=="UK"
+replace share_O=2.28 if country=="UK"
+
+* Italy
+replace share_NA=0.9 if country=="IT"
+replace share_LA=9.1 if country=="IT"
+replace share_WE=14.3 if country=="IT"
+replace share_EE=38.1 if country=="IT"
+replace share_NAF=10.2 if country=="IT"
+replace share_SA=8.2 if country=="IT"
+replace share_ME=2.9 if country=="IT"
+replace share_A=15.9 if country=="IT"
+replace share_O=0.4 if country=="IT"
+
+* France
+replace share_NA=1 if country=="FR"
+replace share_LA=3.4 if country=="FR"
+replace share_WE=29.3 if country=="FR"
+replace share_EE=5.2 if country=="FR"
+replace share_NAF=35.3 if country=="FR"
+replace share_SA=13.1 if country=="FR"
+replace share_ME=5.6 if country=="FR"
+replace share_A=7.3 if country=="FR"
+replace share_O=0.2 if country=="FR"
+
+* Germany
+replace share_NA=1.1 if country=="DE"
+replace share_LA=3.2 if country=="DE"
+replace share_WE=14.9 if country=="DE"
+replace share_EE=42.6 if country=="DE"
+replace share_NAF=1.5 if country=="DE"
+replace share_SA=2.3 if country=="DE"
+replace share_ME=17.3 if country=="DE"
+replace share_A=15.9 if country=="DE"
+replace share_O=0.1 if country=="DE"
+
+* Sweden
+replace share_NA=1.4 if country=="SE"
+replace share_LA=5.5 if country=="SE"
+replace share_WE=23.6 if country=="SE"
+replace share_EE=22.2 if country=="SE"
+replace share_NAF=1.2 if country=="SE"
+replace share_SA=9.1 if country=="SE"
+replace share_ME=23.8 if country=="SE"
+replace share_A=12.4 if country=="SE"
+replace share_O=0.31 if country=="SE"
+
+*************
+
+* Share of immigrants - Religion
+gen share_christian=.
+gen share_muslim=.
+
+label var share_muslim "Actual Share Muslims"
+
+label var share_christian "Actual Share Christians"
+
+
+* United States
+replace share_christian=61 if country=="US"
+replace share_muslim=10 if country=="US"
+
+* UK
+replace share_christian=58 if country=="UK"
+replace share_muslim=23 if country=="UK"
+
+* France
+replace share_christian=43 if country=="FR"
+replace share_muslim=48 if country=="FR"
+
+* Italy
+replace share_christian=57 if country=="IT"
+replace share_muslim=33 if country=="IT"
+
+* Germany
+replace share_christian=51 if country=="DE"
+replace share_muslim=30 if country=="DE"
+
+* Sweden
+replace share_christian=61 if country=="SE"
+replace share_muslim=27 if country=="SE"
+
+* Immigrants' unemployment rate
+gen unemp_imm=.
+la var unemp_imm "Actual immigrant's unemployment rate"
+replace unemp_imm=6.9	if country=="DE"
+replace unemp_imm=16.6	if country=="FR"
+replace unemp_imm=14.7	if country=="IT"
+replace unemp_imm=5.7	if country=="UK"
+replace unemp_imm=5.5	if country=="US"
+replace unemp_imm=16.1	if country=="SE"
+
+* Highly educated immigrats
+gen higheduc_imm=.
+la var higheduc_imm "Actual share of highly educated immigrants"
+replace higheduc_imm=22.3 if country=="DE"
+replace higheduc_imm=28.8 if country=="FR"
+replace higheduc_imm=11.7 if country=="IT"
+replace higheduc_imm=48.8 if country=="UK"
+replace higheduc_imm=41.4 if country=="US"
+replace higheduc_imm=37.9 if country=="SE"
+
+* Low educated immigrats
+gen loweduc_imm=.
+la var loweduc_imm "Actual share of low educated immigrants"
+replace loweduc_imm=35.1 if country=="DE"
+replace loweduc_imm=39.1 if country=="FR"
+replace loweduc_imm=49.1 if country=="IT"
+replace loweduc_imm=16.6 if country=="UK"
+replace loweduc_imm=22.0 if country=="US"
+replace loweduc_imm=33.7 if country=="SE"
+
+* Immigrants' poverty rate
+gen poverty_imm=.
+la var poverty_imm "Actual immigrants' poverty rate"
+replace poverty_imm=20.5 if country=="DE"
+replace poverty_imm=23.8 if country=="FR"
+replace poverty_imm=34.9 if country=="IT"
+replace poverty_imm=19 if country=="UK"
+replace poverty_imm=13.6 if country=="US"
+replace poverty_imm=29.8 if country=="SE"
+
+****
+* Natives' unemployment rate *** 
+gen unemp_nat=.
+la var unemp_nat "Actual natives' unemployment rate"
+replace unemp_nat=3.8	if country=="DE"
+replace unemp_nat=9.1	if country=="FR"
+replace unemp_nat=11.2	if country=="IT"
+replace unemp_nat=4.9	if country=="UK"
+replace unemp_nat=5.2	if country=="US"
+replace unemp_nat=5.1	if country=="SE"
+
+* Highly educated natives
+gen higheduc_nat=.
+la var higheduc_nat "Actual share of highly educated natives"
+replace higheduc_nat=24.9 if country=="DE"
+replace higheduc_nat=31.2 if country=="FR"
+replace higheduc_nat=16.3 if country=="IT"
+replace higheduc_nat=36 if country=="UK"
+replace higheduc_nat=40.8 if country=="US"
+replace higheduc_nat=34.6 if country=="SE"
+
+* Low educated natives
+gen loweduc_nat=.
+la var loweduc_nat "Actual share of low educated natives"
+replace loweduc_nat=16.3 if country=="DE"
+replace loweduc_nat=23.4 if country=="FR"
+replace loweduc_nat=40.4 if country=="IT"
+replace loweduc_nat=21.3 if country=="UK"
+replace loweduc_nat=11.9 if country=="US"
+replace loweduc_nat=17.6 if country=="SE"
+
+* Natives' poverty rate
+gen poverty_nat=.
+la var poverty_nat "Actual natives' poverty rate"
+replace poverty_nat=16.3 if country=="DE"
+replace poverty_nat=10.7 if country=="FR"
+replace poverty_nat=17.5 if country=="IT"
+replace poverty_nat=14.5 if country=="UK"
+replace poverty_nat=10.5 if country=="US"
+replace poverty_nat=12 if country=="SE"
+
+
+
+* Gen misperception variables (guessed - real --> negative for understatement, positive for overstatement) *
+
+* Share, origin, religion of immigrants
+foreach g in foreign NA LA WE EE NAF SA ME A O ch mu{
+	gen mis_share_`g' = perc_share_`g' - share_`g'
+}
+
+* Unemployment, education, poverty of immigrants and natives
+
+foreach g in imm nat{
+	foreach s in unemp higheduc loweduc poverty{
+		gen mis_`s'_`g' = perc_`s'_`g' - `s'_`g'
+	}
+}
+
+gen mis_unemp_imm_nn=perc_unemp_imm-unemp_imm
+gen mis_higheduc_imm_nn=perc_higheduc_imm-higheduc_imm
+gen mis_loweduc_imm_nn=perc_loweduc_imm-loweduc_imm
+gen mis_poverty_imm_nn=perc_poverty_imm-poverty_imm
+
+* Grouped origins
+
+	* Middle East + North Africa
+	gen mis_share_ME_NAF = mis_share_ME + mis_share_NAF
+
+	* North America + Western and Eastern Europe
+	gen mis_share_NA_WE_EE = mis_share_NA + mis_share_WE + mis_share_EE
+	
+	* Europe
+	gen mis_share_E = mis_share_WE + mis_share_EE
+	gen perc_share_E = perc_share_WE + perc_share_EE
+	
+	* Africa
+	gen mis_share_AF = mis_share_NAF + mis_share_SA
+	gen perc_share_AF = perc_share_NAF + perc_share_SA
+	
+	* Asia
+	gen mis_share_AS = mis_share_A + mis_share_ME
+	gen perc_share_AS = perc_share_A + perc_share_ME
+
+* Gen misperception relative to first and second generation immigrants
+gen share_foreign2= share_foreign + share_second_gen
+
+gen mis_share_foreign2 = perc_share_foreign - share_foreign2
+
+*Relabel variables
+label var mis_share_foreign "Misperception of the share of immigrants"
+label var mis_share_NA "Misperception of the share of immigrants from North America"
+label var mis_share_LA "Misperception of the share of immigrants from Latin America"
+label var mis_share_WE "Misperception of the share of immigrants from Western Europe"
+label var mis_share_EE "Misperception of the share of immigrants from Eastern Europe"
+label var mis_share_NAF "Misperception of the share of immigrants from North Africa"
+label var mis_share_SA "Misperception of the share of immigrants from Sub-saharian Africa"
+label var mis_share_ME "Misperception of the share of immigrants from Middle East"
+label var mis_share_A "Misperception of the share of immigrants from Asia"
+label var mis_share_O "Misperception of the share of immigrants from Oceania"
+label var mis_share_ch "Misperception of the share of christian immigrants"
+label var mis_share_mu "Misperception of the share of muslim immigrants"
+label var mis_unemp_imm "Misperception of the share of unemployed immigrants"
+label var mis_higheduc_imm "Misperception of the share of high-educated immigrants"
+label var mis_loweduc_imm "Misperception of the share of low-educated immigrants"
+label var mis_poverty_imm "Misperception of the share of immigrants living below the poverty threshold"
+label var mis_unemp_nat "Misperception of the share of unemployed natives"
+label var mis_higheduc_nat "Misperception of the share of high-educated natives"
+label var mis_loweduc_nat "Misperception of the share of low-educated natives"
+label var mis_poverty_nat "Misperception of the share of natives living below the poverty threshold"
+label var mis_share_ME_NAF "Misperception of the share of immigrants from Middle East and North Africa"
+label var mis_share_NA_WE_EE "Misperception of the share of immigrants from North America, Western and Eastern Europe"
+label var mis_share_E "Misperception of the share of immigrants from Europe"
+label var perc_share_E "Perceived share of immigrants from Europe"
+label var mis_share_AF "Misperception of the share of immigrants from Africa"
+label var perc_share_AF "Perceived share of immigrants from Africa"
+label var mis_share_AS "Misperception of the share of immigrants from Asia and Middle East"
+label var perc_share_AS "Perceived share of immigrants from Asia and Middle East"
+label var share_foreign2 "Actual share of immigrants from first and second generations"
+label var mis_share_foreign2 "Misperception of the actual share of immigrants from first and second generations"
+label var mis_unemp_imm_nn "Misperception of the number of unemployed immigrants"
+label var mis_higheduc_imm_nn "Misperception of the number of high-educated immigrants"
+label var mis_loweduc_imm_nn "Misperception of the number of low-educated immigrants"
+label var mis_poverty_imm_nn "Misperception of the number of immigrants under the poverty threshold"
+
+

37/replication_package/Out/Figures/Figure_10.eps

@@ -0,0 +1,849 @@
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+\begin{tabular}{lcccccccccc} 
+& \multicolumn{8}{l}{\textbf{Panel A: Correlation of Perceived Immigrants Characteristics with Actual Immigrants Characteristics}} \\
+& Share of   & Imm. from Latin   & Imm. from & Imm. from     & Imm. from   & Unemployment  & No High         & College-educated  & Poverty           & Muslim  \\
+& Immigrants & America                       & Africa        & Asia                  & Europe          & Imm.                  & School Imm. & Imm.                          & Imm.                  & Imm. \\
+& (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) & (10) \\ \hline
+\addlinespace
+Local correlation&    0.203\sym{***}&   0.0859\sym{***}&    0.155\sym{***}&    0.139\sym{***}&    0.155\sym{***}&    0.585\sym{***}&   0.0718         &   0.0600         \\
+                & (0.0453)         & (0.0303)         & (0.0566)         & (0.0295)         & (0.0280)         &  (0.147)         & (0.0545)         & (0.0457)         \\
+\addlinespace
+National correlation&   -0.517\sym{***}&    0.478\sym{***}&    0.517\sym{***}&    0.376\sym{***}&    0.268\sym{***}&    1.054\sym{***}&    0.725\sym{***}&    0.324\sym{***}&    0.333\sym{***}&    0.786\sym{***}\\
+                &  (0.118)         & (0.0146)         & (0.0171)         & (0.0207)         & (0.0146)         & (0.0743)         & (0.0327)         & (0.0225)         & (0.0502)         & (0.0236)         \\
+\\ & \multicolumn{10}{l}{\textbf{Panel B: Correlation of Perceived Immigrants Characteristics with Actual Non-immigrants Characteristics}} \\
+& Unemployment       & No High                       & College-educated      & Poverty  \\
+& Imm.                       & School Imm.           & Imm.                          & Imm. \\
+& (1) & (2) & (3) & (4) \\ \hline
+\addlinespace
+Local correlation&    0.896\sym{***}&    0.110         &   0.0974\sym{**} &    0.440\sym{***}\\
+                &  (0.132)         & (0.0858)         & (0.0418)         & (0.0711)         \\
+\addlinespace
+National correlation&    1.503\sym{***}&    0.486\sym{***}&    0.640\sym{***}&   0.0376         \\
+                &  (0.142)         & (0.0403)         & (0.0351)         &  (0.132)         \\
+\\ & \multicolumn{10}{l}{\textbf{Panel C: Correlation of Perceived Immigrants Characteristics with Actual Immigrants - Non-immigrants Differences}} \\
+& Unemployment       & No High               & College-educated              & Poverty  \\
+& Imm.                       & School Imm.   & Imm.                                  & Imm. \\
+& (1) & (2) & (3) & (4) \\ \hline
+\addlinespace
+Local correlation&   -0.468\sym{***}&   0.0354         &  -0.0413         \\
+                &  (0.142)         & (0.0660)         & (0.0433)         \\
+\addlinespace
+National correlation&    1.287\sym{***}&    0.768\sym{***}&    0.256\sym{***}&    0.438\sym{***}\\
+                &  (0.106)         & (0.0443)         & (0.0477)         & (0.0582)         \\
+\\ & \multicolumn{10}{l}{\textbf{Panel D: Correlation of Perceived Non-immigrants Characteristics with Actual Non-immigrants Characteristics}} \\
+& Unemployment       & No High               & College-educated      & Poverty  \\
+& Nat.                       & School Nat.   & Nat.                          & Nat. \\
+& (1) & (2) & (3) & (4) \\ \hline
+\addlinespace
+Local correlation&    0.782\sym{***}&    0.232\sym{***}&   0.0692\sym{*}  &    0.350\sym{***}\\
+                &  (0.104)         & (0.0821)         & (0.0419)         & (0.0614)         \\
+\addlinespace
+National correlation&    1.941\sym{***}&    0.535\sym{***}&    0.160\sym{***}&   -0.462\sym{***}\\
+                &  (0.112)         & (0.0386)         & (0.0384)         &  (0.113)         \\
+\hline \end{tabular}

37/replication_package/Out/Tables/summary_stats_sample_by_country_final.tex

@@ -0,0 +1,19 @@
+\begin{tabular}{lcccccccccccc}
+\hline \noalign{\smallskip} & \multicolumn{2}{c}{US} & \multicolumn{2}{c}{UK} & \multicolumn{2}{c}{France} & \multicolumn{2}{c}{Italy} & \multicolumn{2}{c}{Germany} & \multicolumn{2}{c}{Sweden}\\
+\hline  & Sample & Pop & Sample & Pop & Sample & Pop & Sample & Pop & Sample & Pop & Sample & Pop\\
+ & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) & (10) & (11) & (12)\\
+\noalign{\smallskip}\hline \noalign{\smallskip}Male & 0.48 & 0.49 & 0.48 & 0.48 & 0.49 & 0.49 & 0.50 & 0.50 & 0.50 & 0.49 & 0.50 & 0.50\\
+18-29 y.o. & 0.24 & 0.24 & 0.24 & 0.26 & 0.23 & 0.23 & 0.19 & 0.19 & 0.23 & 0.22 & 0.22 & 0.24\\
+30-39 y.o. & 0.19 & 0.20 & 0.18 & 0.19 & 0.19 & 0.20 & 0.22 & 0.22 & 0.17 & 0.18 & 0.19 & 0.19\\
+40-49 y.o. & 0.19 & 0.19 & 0.22 & 0.21 & 0.22 & 0.21 & 0.24 & 0.23 & 0.20 & 0.20 & 0.20 & 0.21\\
+50-59 y.o. & 0.21 & 0.20 & 0.19 & 0.18 & 0.20 & 0.20 & 0.19 & 0.19 & 0.23 & 0.23 & 0.19 & 0.18\\
+60-69 y.o. & 0.18 & 0.17 & 0.17 & 0.16 & 0.16 & 0.15 & 0.16 & 0.17 & 0.16 & 0.17 & 0.19 & 0.18\\
+Income Bracket 1  & 0.16 & 0.16 & 0.30 & 0.31 & 0.30 & 0.32 & 0.28 & 0.27 & 0.25 & 0.26 & 0.33 & 0.33\\
+Income Bracket 2  & 0.19 & 0.19 & 0.35 & 0.35 & 0.31 & 0.30 & 0.29 & 0.28 & 0.29 & 0.29 & 0.28 & 0.29\\
+Income Bracket 3  & 0.22 & 0.22 & 0.12 & 0.11 & 0.14 & 0.14 & 0.20 & 0.19 & 0.23 & 0.23 & 0.22 & 0.22\\
+Income Bracket 4 & 0.43 & 0.43 & 0.24 & 0.23 & 0.25 & 0.24 & 0.23 & 0.26 & 0.22 & 0.22 & 0.17 & 0.17\\
+Married & 0.51 & 0.49 & 0.52 & 0.41 & 0.42 & 0.46 & 0.58 & 0.46 & 0.47 & 0.46 & 0.34 & 0.33\\
+Employed & 0.60 & 0.70 & 0.68 & 0.74 & 0.64 & 0.65 & 0.65 & 0.57 & 0.65 & 0.75 & 0.72 & 0.77\\
+Unemployed & 0.08 & 0.05 & 0.04 & 0.05 & 0.10 & 0.09 & 0.11 & 0.11 & 0.04 & 0.04 & 0.04 & 0.05\\
+College & 0.51 & 0.41 & 0.37 & 0.36 & 0.50 & 0.31 & 0.36 & 0.16 & 0.27 & 0.25 & 0.43 & 0.36\\
+\noalign{\smallskip}\hline\end{tabular}\\

37/replication_package/Out/Tables/table_1stage.tex

@@ -0,0 +1,18 @@
+\begin{tabular}{lccccccc} 
+& All  & Accurate Perception  &  M. East and & N. America, W. and  & Muslim & Christian & Lack of Effort \\
+& Immigrants & All Immigrants  & N. Africa & E. Europe  &  & & Reason Poor \\
+& (misp.) & & (misp.) & (misp.) & (misp.) & (misp.) & \\
+& (1) & (2) & (3) & (4) & (5) & (6) & (7) \\ \hline
+\addlinespace
+T: Share of Immigrants&   -4.864\sym{***}&    0.227\sym{***}&   -0.248         &    0.173         &  0.00857         &    0.144         & 0.000297         \\
+                &  (0.411)         &(0.00691)         &  (0.313)         &  (0.357)         &  (0.419)         &  (0.397)         &(0.00921)         \\
+\addlinespace
+T: Origin of Immigrants&    2.315\sym{***}&  0.00251         &   -4.794\sym{***}&    1.827\sym{***}&   -1.829\sym{***}&    2.456\sym{***}&-0.000234         \\
+                &  (0.426)         &(0.00411)         &  (0.295)         &  (0.356)         &  (0.405)         &  (0.397)         &(0.00925)         \\
+\addlinespace
+T: Hard Work    &    0.709\sym{*}  & -0.00420         &   -0.385         &    0.378         &   -0.869\sym{**} &    0.796\sym{**} &  -0.0535\sym{***}\\
+                &  (0.409)         &(0.00396)         &  (0.308)         &  (0.352)         &  (0.404)         &  (0.393)         &(0.00899)         \\
+\addlinespace
+Observations    &    19735         &    19735         &    19747         &    19728         &    19761         &    19757         &    19721         \\
+Control mean & 17.02  &  0.04 & 12.60 & -5.56 & 11.30 & -23.98 &  0.36     \\
+\hline \end{tabular}