This paper presents new results on the relationship between income inequality and education expansion—that is, increasing average years of schooling and reducing inequality of schooling. When dynamic panel estimation techniques are used to address issues of persistence and endogeneity, we find a large, positive, statistically significant and stable relationship between inequality of schooling and income inequality, especially in emerging and developing economies and among older age cohorts. The relationship between income inequality and average years of schooling is positive, consistent with constant or increasing returns to additional years of schooling. While this positive relationship is small and not always statistically significant, we find a statistically significant negative relationship with years of schooling of younger cohorts. Statistical tests indicate that our dynamic estimators are consistent and that our identifying instruments are valid. Policy simulations suggest that education expansion will continue to be inequality reducing. This role will diminish as countries develop, but it could be enhanced through a stronger focus on reducing inequality in the quality of education.

This paper presents new results on the relationship between education expansion and income inequality. While human capital theory suggests that income inequality increases with inequality of education outcomes, the expected relationship between income inequality and the level of education is ambiguous. Consistent with these theoretical priors, when dynamic panel estimation techniques are used to address issues of persistence and endogeneity we find a large, positive, statistically significant and stable relationship between education inequality and income inequality, especially in emerging and developing economies and among older age cohorts. The relationship between income inequality and education levels is positive but small and not always statistically significant, but we find a statistically significant negative relationship with schooling levels of younger cohorts. Statistical tests indicate that our dynamic estimators are consistent and that our identifying instruments are valid. Policy simulations suggest that education expansion will continue to be inequality reducing but that this role will diminish as countries develop.

This paper proposes to measure inequality in educational achievement by constructing a Gini index on educational attainment. It uses the proposed measure to analyze the relationship between inequality in world income and educational attainment (in terms of both the average attainment and the dispersion of attainment). Though theoretical considerations suggest a nonlinear relationship between these two measures of inequality, actual data indicate that there is a strong negative link between average years of education and measured income inequality. Multivariate regression analysis indicates that if the negative correlation between average educational attainment and the dispersion of educational attainment are taken into account, the relationship between income inequality and average years of schooling appears U-shaped, with a lower turning point at 6.5 years. Income inequality is also negatively related to per capita income and positively related to the capital/output ratio and government expenditure on education. The relative contribution of education to income inequality explains between 3 and 16 percent of the variance, though the fraction is higher and shows a rising trend in developed countries. Data sources and additional tables are appended. (Contains 65 references.) (SM).

This book challenges the conventional wisdom that greater schooling and skill improvement leads to higher wages, that income inequality falls with wider access to schooling, and that the Information Technology revolution will re-ignite worker pay. Indeed, the econometric results provide no evidence that the growth of skills or educational attainment has any statistically significant relation to earnings growth or that greater equality in schooling has led to a decline in income inequality. Results also indicate that computer investment is negatively related to earnings gains and positively associated with changes in both income inequality and the dispersion of worker skills. The findings reports here have direct relevance to ongoing policy debates on educational reform in the U.S.

Abstract: It is routinely assumed that residents of post-socialist countries have a preference for greater income equality, other things being equal, owing to the legacy of socialism. This proposition is examined in the context of Eastern Europe and the former Soviet Union using data from three waves of the World Values Survey. Contrary to expectations, the authors find little evidence of a 'socialist legacy' en bloc. Considering the former Soviet Union separately from other post-socialist countries, the analysis finds that as a group these countries display significantly lower preference for moving toward greater income equality than both Eastern Europe and other comparator groups (developed and developing countries). These findings hold up even when controlling for the conventional determinants of attitudes such as income level and employment status of the individual respondent, as well as national factors such as per-capita income and its distribution. Moreover, the preference for greater income inequality appears to have persisted at least since the mid-1990s and possibly since the early 1990s (data difficulties preclude a robust examination of this latter question). The results are consistent with the fairly low levels of public spending on redistribution commonly found in the former Soviet Union.