Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap
研究如何分解两组人群在结果分布上的差异，考虑个体自我选择参与的影响，并区分参与者与总人口的分解，通过性别工资差距案例说明方法，发现女性参与和自我选择的变化是缩小差距的主要因素。
I address the decomposition of the differences between the distribution of outcomes of two groups when individuals self-select themselves into participation. I differentiate between the decomposition for participants and the entire population, highlighting how the primitive components of the model affect each of the distributions of outcomes. Additionally, I introduce two ancillary decompositions that help uncover the sources of differences in the distribution of unobservables and participation between the two groups. The estimation is done using existing quantile regression methods, for which I show how to perform uniformly valid inference. I illustrate these methods by revisiting the gender wage gap, finding that changes in female participation and self-selection have been the main drivers for reducing the gap.