Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This article analyses the relationship between schooling expansion and educational inequality in a panel of developed countries over different birth cohorts. We extend previous literature by exploiting the longitudinal dimension of our data and by focussing on different measures of inequality. Using either a Gini or a Theil measure of inequality, we find evidence that at higher average levels of education further increases are associated with rising inequality. The inverted-U Kuznets curve appears to depend on using the standard deviation as the measure of inequality. We also discuss how educational policies may influence educational inequality and find that the length of compulsory education affects inequality only through its effect on average education, whilst school tracking shapes inequality independently of the level of education.