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A wide variety of studies support the notion that income inequality has detrimental effects on a country’s economic growth, levels of trust in government, and even health of its citizens. Throughout economics literature, numerous researchers have endeavored to explain the variance in income inequality across countries. One notable area of inquiry examines how dispersion in education of the labor force impacts income inequality, but it generally yields ambiguous and inconsistent results. This paper examines income inequality as a function of educational inequality in a cross-sectional analysis. It attempts to improve on previous research by utilizing more recent data such as the Gini coefficient of education calculated from the Barro and Lee (2010) dataset. Moreover, multiple regressions are analyzed which investigate the research question from a broader perspective, controlling for labor market outlook within a country, access and quality of education, socioeconomic conditions, and the degree of meritocracy. Due to different institutional factors which make it difficult to compare countries across the development spectrum, countries are grouped according to their level of development for the regression analysis. There is a significant and positive relationship for developed countries between income inequality and educational inequality, however an insignificant relationship is found for developing countries. Interestingly, Gender Inequality appears to be a stronger predictor of income inequality.



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