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A Local Projections Approach to Difference-in-Differences Event Studies

Author

Listed:
  • Arindrajit Dube
  • Daniele Girardi
  • Òscar Jordà
  • Alan M. Taylor

Abstract

We propose a local projection (LP) based difference-in-differences approach that subsumes many of the recent solutions proposed in the literature to address possible biases arising from negative weighting. We combine LPs with a flexible ‘clean control’ condition to define appropriate sets of treated and control units. Our proposed LP-DiD estimator can be implemented with various weighting and normalization schemes for different target estimands, accommodates controls for pre-treatment values of the outcome and of other time-varying covariates, and is simple and fast to implement. Simulations and two empirical applications demonstrate that the LP-DiD estimator performs well in common applied settings.

Suggested Citation

  • Arindrajit Dube & Daniele Girardi & Òscar Jordà & Alan M. Taylor, 2023. "A Local Projections Approach to Difference-in-Differences Event Studies," NBER Working Papers 31184, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:31184
    Note: EFG IFM LS ME POL
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    9. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
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    9. Alexander Rodnyansky & Yannick Timmer & Naoki Yago, 2023. "Intervening against the Fed," CESifo Working Paper Series 10575, CESifo.
    10. Rodnyansky, A. & Timmer, Y. & Yago, N., 2023. "Intervening against the Fed," Cambridge Working Papers in Economics 2357, Faculty of Economics, University of Cambridge.
    11. Juanma Castro-Vincenzi & Guarav Khanna & Nicolas Morales & Nitya Pandalai-Nayar, 2024. "Weathering the Storm: Supply Chains and Climate Risk," Working Paper 24-03, Federal Reserve Bank of Richmond.
    12. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
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    14. Jean-Baptiste Bonnier, 2024. "A Split-Treatment Design," Working Papers 2024-11, CRESE.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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