In this paper education simultaneously affects growth and income inequality. More education does not necessarily decrease inequality when the latter is assessed by the Lorenz dominance criterion. Increases in education first increase and then decrease growth as well as income inequality, when measured by the Gini coefficient. There is no clear functional relationship between growth and measured income inequality. The model identifies regimes of this relationship that depend crucially on the production and schooling technology. Conventional growth regressions with human capital and inequality as regressors may miss the richness of the underlying nonlinearities, but may still provide important information on the nonlinear relationship between growth and education.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据