Using post-regularization distribution regression to measure the effects of a minimum wage on hourly wages, hours worked, and monthly earnings
基于中等样本量但含大量协变量的数据，采用后双重选择逻辑分布回归方法，评估最低工资引入对小时工资、工作时间和月收入的分布效应，发现最低工资替代了低于门槛的小时工资，提高了中低段月收入，但未显著影响工作时间分布。
Summary We evaluate the distributional effects of a minimum wage introduction based on a dataset with a moderate sample size, but a large number of potential covariates. In this context, the selection of relevant control variables at each distributional threshold is crucial to test hypotheses about the impact of the continuous treatment variable. To this end, we use a post-double-selection logistic distribution regression approach, which allows for uniformly valid inference about the target coefficients of our low-dimensional treatment variables across the entire outcome distribution. Our empirical results show that the minimum wage replaced hourly wages below the minimum threshold, increased monthly earnings in the lower-middle segment, but not at the very bottom of the distribution, and did not significantly affect the distribution of working hours.