Estimating the Causal Effects of Education on Wage Inequality Using IV Methods and Sample Selection
2005/12/27
研討會日期 : 2005-12-27
時間 : 15:00
主講人 : Prof. Chen, Stacy H.
地點 : C棟103室
演講者簡介 : Prof. Chen, Stacy H.為Ph.D., University of Rochester (2002)。
現為Assistant Professor of Economics, SUNY at Albany。
其主要研究領域為Labor Economics，Applied Econometrics及Economics of Education。
演講摘要 : We propose instrumental variables and semi-parametric estimators to solve the problem of selection bias in comparisons of wage inequality across schooling groups. These estimators provide flexible schemes for the identification of (conditional) average treatment effects (ATE) on various inequality measures, including conditional variance and interquantile spreads. Our latent index framework captures the effect of a binary schooling choice on inequality. We also show how symmetry assumptions for the joint distributions of error terms in the outcome and selection equations, along with kernel weighting schemes, can be used to identify the ATE on inequality. Asymptotic theory is derived for the proposed estimators; a simulation study indicates that both estimators perform well in finite samples. Using college proximity as an instrument for schooling, we find little evidence that college education increased the degree of wage inequality in 1976. This runs contrary to the conventional OLS results.
