2016
DOI: 10.1086/685300
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Ethnic Inequality

Abstract: This study explores the consequences and origins of between-ethnicity economic inequality across countries. First, combining satellite images of nighttime luminosity with the historical homelands of ethnolinguistic groups we construct measures of ethnic inequality for a large sample of countries. We also compile proxies of overall spatial inequality and regional inequality across administrative units. Second, we uncover a strong negative association between ethnic inequality and contemporary comparative develo… Show more

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Cited by 442 publications
(415 citation statements)
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References 55 publications
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“…Nonetheless, to dispel remaining doubts, I re-run all models with an alternative measure of ethnic inequality created by Alesina et al (2016). As discussed previously, there are both theoretical and empirical reasons that alleviate this concern.…”
Section: Robustness Checksmentioning
confidence: 99%
“…Nonetheless, to dispel remaining doubts, I re-run all models with an alternative measure of ethnic inequality created by Alesina et al (2016). As discussed previously, there are both theoretical and empirical reasons that alleviate this concern.…”
Section: Robustness Checksmentioning
confidence: 99%
“…Robinson (2001) stresses the key role of ethnic inequality in creating conflict and spurring ethnic identification across Africa), while Alesina, Michalopoulos, and Papaioannou (2012) show that economic differences across ethnic lines are the highest in Africa compared to Europe, Asia, and the Americas. 6 …”
Section: Ethnic Identification and State Capacitymentioning
confidence: 99%
“… 6 Alesina, Michalopoulos, and Papaioannou (2012) estimate that the average (median) ethnic Gini index for African countries in 2009 is 0.54 (0.61), while in Asia the mean (median) is 0.45 (0.49), in Europe the mean (median) is 0.27 (0.21), and in America the mean (median) is 0.37 (0.40). …”
mentioning
confidence: 99%
“…Thereby, nighttime lights have helped to improve our understanding of comparative development [13, 14, 17, 18] as well as a host of other topics ranging from favoritism [9, 16] to ethnic inequality [15] and micro-finance [11]. …”
Section: Introductionmentioning
confidence: 99%