Borusyak, Kirill, Jaravel, Xavier  ORCID: 0000-0001-9228-2137 and Spiess, Jann 
  
(2024)
Revisiting event-study designs: robust and efficient estimation.
    Review of Economic Studies, 91 (6).
     3253 - 3285.
     ISSN 0034-6527
ORCID: 0000-0001-9228-2137 and Spiess, Jann 
  
(2024)
Revisiting event-study designs: robust and efficient estimation.
    Review of Economic Studies, 91 (6).
     3253 - 3285.
     ISSN 0034-6527
  
  
  
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Abstract
We develop a framework for difference-in-differences designs with staggered treatment adoption and heterogeneous causal effects. We show that conventional regression-based estimators fail to provide unbiased estimates of relevant estimands absent strong restrictions on treatment-effect homogeneity. We then derive the efficient estimator addressing this challenge, which takes an intuitive “imputation” form when treatment-effect heterogeneity is unrestricted. We characterize the asymptotic behaviour of the estimator, propose tools for inference, and develop tests for identifying assumptions. Our method applies with time-varying controls, in triple-difference designs, and with certain non-binary treatments. We show the practical relevance of our results in a simulation study and an application. Studying the consumption response to tax rebates in the U.S., we find that the notional marginal propensity to consume is between 8 and 11% in the first quarter—about half as large as benchmark estimates used to calibrate macroeconomic models—and predominantly occurs in the first month after the rebate.
| Item Type: | Article | 
|---|---|
| Official URL: | https://academic.oup.com/restud | 
| Additional Information: | © 2024 The Author(s) | 
| Divisions: | Economics | 
| Subjects: | H Social Sciences > HB Economic Theory | 
| JEL classification: | C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C23 - Models with Panel Data E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Employment, and Investment > E21 - Macroeconomics: Consumption; Saving; Aggregate Physical and Financial Consumer Wealth | 
| Date Deposited: | 05 Jun 2024 09:54 | 
| Last Modified: | 25 Oct 2025 23:30 | 
| URI: | http://eprints.lse.ac.uk/id/eprint/123781 | 
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