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| commitment_white_usa_paq = lm_robust(police_action_required_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",]) |
| commitment_black_usa_paq = lm_robust(police_action_required_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",]) |
| commitment_white_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==0,]) |
| commitment_ethiopian_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==1,]) |
| commitment_arab_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==2,]) |
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| term_police_action_required = c(commitment_white_usa_paq$coefficients[2], commitment_black_usa_paq$coefficients[2]) |
| se_police_action_required = c(commitment_white_usa_paq$std.error[2], commitment_black_usa_paq$std.error[2]) |
| statistic_police_action_required = c(commitment_white_usa_paq$statistic[2], commitment_black_usa_paq$statistic[2]) |
| pval_police_action_required = c(commitment_white_usa_paq$p.value[2], commitment_black_usa_paq$p.value[2]) |
| term = c("Majority group", "Minority group") |
| police_action_required = as.data.frame(cbind(term_police_action_required, se_police_action_required, statistic_police_action_required, pval_police_action_required)) |
| police_action_required = cbind(police_action_required, term) |
| colnames(police_action_required) = c("estimate", "std.error", "statistic", "p.value", "term") |
| rownames(police_action_required) = term |
| police_action_required$model = "Police action required" |
| differences_us = police_action_required |
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| term_police_action_required = c(commitment_white_israel_paq$coefficients[2], commitment_arab_israel_paq$coefficients[2]) |
| se_police_action_required = c(commitment_white_israel_paq$std.error[2], commitment_arab_israel_paq$std.error[2]) |
| statistic_police_action_required = c(commitment_white_israel_paq$statistic[2], commitment_arab_israel_paq$statistic[2]) |
| pval_police_action_required = c(commitment_white_israel_paq$p.value[2], commitment_arab_israel_paq$p.value[2]) |
| term = c("Majority group", "Minority group") |
| police_action_required = as.data.frame(cbind(term_police_action_required, se_police_action_required, statistic_police_action_required, pval_police_action_required)) |
| police_action_required = cbind(police_action_required, term) |
| colnames(police_action_required) = c("estimate", "std.error", "statistic", "p.value", "term") |
| rownames(police_action_required) = term |
| police_action_required$model = "Police action required" |
| differences_isr_arab = police_action_required |
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| term_police_action_required = c(commitment_white_israel_paq$coefficients[2], commitment_ethiopian_israel_paq$coefficients[2]) |
| se_police_action_required = c(commitment_white_israel_paq$std.error[2], commitment_ethiopian_israel_paq$std.error[2]) |
| statistic_police_action_required = c(commitment_white_israel_paq$statistic[2], commitment_ethiopian_israel_paq$statistic[2]) |
| pval_police_action_required = c(commitment_white_israel_paq$p.value[2], commitment_ethiopian_israel_paq$p.value[2]) |
| term = c("Majority group", "Minority group") |
| police_action_required = as.data.frame(cbind(term_police_action_required, se_police_action_required, statistic_police_action_required, pval_police_action_required)) |
| police_action_required = cbind(police_action_required, term) |
| colnames(police_action_required) = c("estimate", "std.error", "statistic", "p.value", "term") |
| rownames(police_action_required) = term |
| police_action_required$model = "Police action required" |
| differences_isr_ethiopian = police_action_required |
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| differences_us$term = "Perception of Blacks \n(United States)" |
| differences_isr_ethiopian$term = "Perception of Ethiopians \n(Israel)" |
| differences_isr_arab$term = "Perception of Arabs \n(Israel)" |
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| diffs_sm = rbind(differences_us, differences_isr_ethiopian, differences_isr_arab) |
| diffs_sm$model = rep(c("Majority group", "Minority group"),3) |
| rownames(diffs_sm) = 1:nrow(diffs_sm) |
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| results_df <- data.frame(term = diffs_sm$term, |
| estimate = diffs_sm$estimate, |
| std.error = diffs_sm$std.error, |
| model = diffs_sm$model, |
| stringsAsFactors = FALSE) |
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| 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_A11.pdf", width=6, height=5) |
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