论文标题
轮班秀设计的随机推理测试
Randomization Inference Tests for Shift-Share Designs
论文作者
论文摘要
我们考虑了轮班秀研究设计中的推断问题。现有方法之间允许不受限制的空间相关性之间的选择涉及权衡，当它们相对较少或集中冲击时，其有效性以及对冲击分配过程的假设和治疗效果异质性的假设而有所不同。我们提出了结合不同方法的优势的替代随机推理方法。这些方法在相对较强的假设下在有限样本中是有效的，而在较弱的假设下渐近有效。
We consider the problem of inference in shift-share research designs. The choice between existing approaches that allow for unrestricted spatial correlation involves tradeoffs, varying in terms of their validity when there are relatively few or concentrated shocks, and in terms of the assumptions on the shock assignment process and treatment effects heterogeneity. We propose alternative randomization inference methods that combine the advantages of different approaches. These methods are valid in finite samples under relatively stronger assumptions, while asymptotically valid under weaker assumptions.
