论文标题
分位数随机回归具有交互式固定效果：异质群体级策略评估
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation
论文作者
论文摘要
我们提出了一种具有互动固定效应的分位数随机回归，以研究各个个体异质性的群体级策略的影响。我们的方法是第一个使用潜在因子结构来处理随机系数中不可观察的异质性。为策略估计器建立了渐近性能和推论方法。该模型用于评估最低工资政策对1967年至1980年美国收益的影响。我们的结果表明，最低工资政策对中间的黑人工人和女工产生了重大和持续的积极影响。我们的结果还表明，该政策有助于将收入差异降低到两组之间的中位数：黑人，女工与白人，男性工人。但是，该政策对缩小亚群中低收入和高收入工人之间的收入差距的影响很小。
We propose a quantile random-coefficient regression with interactive fixed effects to study the effects of group-level policies that are heterogeneous across individuals. Our approach is the first to use a latent factor structure to handle the unobservable heterogeneities in the random coefficient. The asymptotic properties and an inferential method for the policy estimators are established. The model is applied to evaluate the effect of the minimum wage policy on earnings between 1967 and 1980 in the United States. Our results suggest that the minimum wage policy has significant and persistent positive effects on black workers and female workers up to the median. Our results also indicate that the policy helps reduce income disparity up to the median between two groups: black, female workers versus white, male workers. However, the policy is shown to have little effect on narrowing the income gap between low- and high-income workers within the subpopulations.
