论文标题
样本选择下的分布差异和性别工资差距的分解
Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap
论文作者
论文摘要
当个人自我选择参与时，我解决了两个小组结果分布之间的差异的分解。我区分了参与者和整个人群的分解，强调了模型的原始组成部分如何影响结果的每个分布。此外，我介绍了两个辅助分解，这些辅助分解有助于发现两组之间不可观察到的分布和参与的差异来源。估计是使用现有的分位数回归方法进行的，我为此显示如何执行统一有效的推断。我通过重新审视性别工资差距来说明这些方法，发现女性参与和自我选择的变化一直是减少差距的主要驱动力。
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.
