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A Local Projections Approach to Difference-in-Differences

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, can be extended to include covariates or accommodate non-absorbing treatment, and is simple and fast to implement. A simulation 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," 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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    Cited by:

    1. Todd Morris & Benoit Dostie, 2023. "Graying and staying on the job: The welfare implications of employment protection for older workers," Cahiers de recherche / Working Papers 15, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    2. Juanma Castro-Vincenzi & Gaurav Khanna & Nicolas Morales & Nitya Pandalai-Nayar, 2024. "Weathering the Storm: Supply Chains and Climate Risk," NBER Working Papers 32218, National Bureau of Economic Research, Inc.
    3. Jordà, Òscar & Nechio, Fernanda, 2023. "Inflation and wage growth since the pandemic," European Economic Review, Elsevier, vol. 156(C).
    4. Britto, Diogo & Rocha, Roberto Hsu & Pinotti, Paolo & Sampaio, Breno, 2024. "Small Children, Big Problems: Childbirth and Crime," IZA Discussion Papers 16910, Institute of Labor Economics (IZA).
    5. Jingyi Tian & Jun Nagayasu, 2023. "Financial Systemic Risk behind Artificial Intelligence:Evidence from China," TUPD Discussion Papers 44, Graduate School of Economics and Management, Tohoku University.
    6. Cheick Camara, 2023. "Gender Budgeting and Health Spending Efficiency in Indian States: A Staggered Difference-in-Differences Analysis," CERDI Working papers hal-04294262, HAL.
    7. João Pedro Vieira & Ricardo Dahis & Juliano Assunção, 2023. "The Role of Sanctions and Spillovers in Forest Conservation," Monash Economics Working Papers 2023-16, Monash University, Department of Economics.
    8. Natalia Emanuel & Emma Harrington, 2023. "Working Remotely? Selection, Treatment, and the Market for Remote Work," Staff Reports 1061, Federal Reserve Bank of New York.
    9. Griller, Stefan & Huber, Florian & Pfarrhofer, Michael, 2024. "Financial markets and legal challenges to unconventional monetary policy," European Economic Review, Elsevier, vol. 163(C).
    10. Alexander Rodnyansky & Yannick Timmer & Naoki Yago, 2023. "Intervening against the Fed," CESifo Working Paper Series 10575, CESifo.
    11. Rodnyansky, A. & Timmer, Y. & Yago, N., 2023. "Intervening against the Fed," Cambridge Working Papers in Economics 2357, Faculty of Economics, University of Cambridge.
    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.
    13. Amorim, Guilherme & Britto, Diogo & Fonseca, Alexandre & Sampaio, Breno, 2024. "Job Loss, Unemployment Insurance, and Health: Evidence from Brazil," IZA Discussion Papers 16790, Institute of Labor Economics (IZA).
    14. Jean-Baptiste Bonnier, 2024. "A Split-Treatment Design," Working Papers 2024-11, CRESE.
    15. Matthew Staiger & Giordano Palloni & John Voorheis, 2024. "Neighborhood Revitalization and Residential Sorting," Working Papers 24-12, Center for Economic Studies, U.S. Census Bureau.

    More about this item

    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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