Matching as a Tool to Decompose Wage Gaps
提出一种基于匹配的非参数方法，用于分解性别工资差距，无需估计收入方程，将差距分为四个加性部分，其中两个类似Blinder-Oaxaca分解但仅基于共同支持域，另两个反映特征分布支持域的差异。
This paper presents a methodology that uses matching comparisons to explain gender wage differences. The approach emphasizes gender differences in the supports of the distributions of observable characteristics and provides insights into the distribution of unexplained gender pay differences. This nonparametric alternative to the Blinder-Oaxaca (BO) decomposition does not require the estimation of earnings equations and divides the gap into four additive elements. Two of these are analogous to the elements of the BO decomposition (but computed only over the common support of the distributions of characteristics), while the other two account for differences in the supports. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.