Beyond Parallel Trends in Staggered Difference-in-Differences: Identification under Higher-Order Parallelism
超越错位实施双重差分的平行趋势:高阶平行性下的识别
In difference-in-differences designs, the parallel trends assumption requires that the outcome gap between treated and control units would have remained flat absent treatment. Pre-treatment event studies frequently reject this flat-gap requirement. Existing responses include parametric trend controls and bounds on the treatment effect under assumptions about the magnitude of the violation. This paper shows that point identification of cohort-specific and aggregate treatment…