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## Appendix: Figure A10
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commitment_white_usa_rv = lm_robust(recall_violence_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
commitment_black_usa_rv = lm_robust(recall_violence_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])
commitment_white_israel_rv = lm_robust(recall_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==0,])
commitment_ethiopian_israel_rv = lm_robust(recall_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==1,])
commitment_arab_israel_rv = lm_robust(recall_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==2,])

## U.S. 
term_recall_violence = c(commitment_white_usa_rv$coefficients[2], commitment_black_usa_rv$coefficients[2])
se_recall_violence = c(commitment_white_usa_rv$std.error[2], commitment_black_usa_rv$std.error[2])
statistic_recall_violence = c(commitment_white_usa_rv$statistic[2], commitment_black_usa_rv$statistic[2])
pval_recall_violence = c(commitment_white_usa_rv$p.value[2], commitment_black_usa_rv$p.value[2])
term = c("Majority group", "Minority group")
recall_violence = as.data.frame(cbind(term_recall_violence, se_recall_violence, statistic_recall_violence, pval_recall_violence))
recall_violence = cbind(recall_violence, term)
colnames(recall_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(recall_violence) = term
recall_violence$model = "Recall violence"
differences_us = recall_violence

## Israel (Arabs)
term_recall_violence = c(commitment_white_israel_rv$coefficients[2], commitment_arab_israel_rv$coefficients[2])
se_recall_violence = c(commitment_white_israel_rv$std.error[2], commitment_arab_israel_rv$std.error[2])
statistic_recall_violence = c(commitment_white_israel_rv$statistic[2], commitment_arab_israel_rv$statistic[2])
pval_recall_violence = c(commitment_white_israel_rv$p.value[2], commitment_arab_israel_rv$p.value[2])
term = c("Majority group", "Minority group")
recall_violence = as.data.frame(cbind(term_recall_violence, se_recall_violence, statistic_recall_violence, pval_recall_violence))
recall_violence = cbind(recall_violence, term)
colnames(recall_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(recall_violence) = term
recall_violence$model = "Recall violence"
differences_isr_arab = recall_violence

## Israel (Ethiopian)
term_recall_violence = c(commitment_white_israel_rv$coefficients[2], commitment_ethiopian_israel_rv$coefficients[2])
se_recall_violence = c(commitment_white_israel_rv$std.error[2], commitment_ethiopian_israel_rv$std.error[2])
statistic_recall_violence = c(commitment_white_israel_rv$statistic[2], commitment_ethiopian_israel_rv$statistic[2])
pval_recall_violence = c(commitment_white_israel_rv$p.value[2], commitment_ethiopian_israel_rv$p.value[2])
term = c("Majority group", "Minority group")
recall_violence = as.data.frame(cbind(term_recall_violence, se_recall_violence, statistic_recall_violence, pval_recall_violence))
recall_violence = cbind(recall_violence, term)
colnames(recall_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(recall_violence) = term
recall_violence$model = "Recall violence"
differences_isr_ethiopian = recall_violence

## Result tables for plot
differences_us$term = "Perception of Blacks \n(United States)"
differences_isr_ethiopian$term = "Perception of Ethiopians \n(Israel)"
differences_isr_arab$term = "Perception of Arabs \n(Israel)"

diffs_sm = rbind(differences_us, differences_isr_ethiopian, differences_isr_arab)
diffs_sm$model = rep(c("Majority group", "Minority group"),3)
rownames(diffs_sm) = 1:nrow(diffs_sm)

results_df <- data.frame(term = diffs_sm$term,
                         estimate = diffs_sm$estimate,
                         std.error = diffs_sm$std.error,
                         model = diffs_sm$model,
                         stringsAsFactors = FALSE)

dwplot(results_df,vline = geom_vline(xintercept = 0, colour = "grey60", linetype = 2), dot_args = list(size = 3)) + 
  theme_bw() + xlab("Coefficient Estimate (Std. Dev. Units)") + theme(legend.position = "bottom", axis.text=element_text(size=9), legend.title = element_blank()) +
  scale_colour_grey(start = .1, end = .7) 
ggsave(filename="Figures/fig_A10.pdf", width=6, height=5)