Journal of Financial Economics· 2022Q1
How much should we trust staggered difference-in-differences estimates?
- 3,002citations
- Q1SCImago
- 2022year
Short summary
Staggered difference-in-differences (DiD) regression estimators, widely used for policy impact analysis, are often biased, leading to incorrect conclusions. This paper explains these biases and reviews three alternative estimators that address them.
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Statistics and ProbabilityMathematics