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When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators

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  • Tobias Ruttenauer
  • Ozan Aksoy

Abstract

The conventional Two-Way Fixed-Effects (TWFE) estimator has come under scrutiny lately. Recent literature has revealed potential shortcomings of TWFE when the treatment effects are heterogeneous. Scholars have developed new advanced dynamic Difference-in-Differences (DiD) estimators to tackle these potential shortcomings. However, confusion remains in applied research as to when the conventional TWFE is biased and what issues the novel estimators can and cannot address. In this study, we first provide an intuitive explanation of the problems of TWFE and elucidate the key features of the novel alternative DiD estimators. We then systematically demonstrate the conditions under which the conventional TWFE is inconsistent. We employ Monte Carlo simulations to assess the performance of dynamic DiD estimators under violations of key assumptions, which likely happens in applied cases. While the new dynamic DiD estimators offer notable advantages in capturing heterogeneous treatment effects, we show that the conventional TWFE performs generally well if the model specifies an event-time function. All estimators are equally sensitive to violations of the parallel trends assumption, anticipation effects or violations of time-varying exogeneity. Despite their advantages, the new dynamic DiD estimators tackle a very specific problem and they do not serve as a universal remedy for violations of the most critical assumptions. We finally derive, based on our simulations, recommendations for how and when to use TWFE and the new DiD estimators in applied research.

Suggested Citation

  • Tobias Ruttenauer & Ozan Aksoy, 2024. "When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators," Papers 2402.09928, arXiv.org, revised Apr 2024.
    • Handle: RePEc:arx:papers:2402.09928
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    References listed on IDEAS

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    1. Janet Currie & John Voorheis & Reed Walker, 2023. "What Caused Racial Disparities in Particulate Exposure to Fall? New Evidence from the Clean Air Act and Satellite-Based Measures of Air Quality," American Economic Review, American Economic Association, vol. 113(1), pages 71-97, January.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    3. Albert Chiu & Xingchen Lan & Ziyi Liu & Yiqing Xu, 2023. "Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study," Papers 2309.15983, arXiv.org, revised Nov 2024.
    4. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    5. Seth M. Freedman & Alex Hollingsworth & Kosali I. Simon & Coady Wing & Madeline Yozwiak, 2023. "Designing Difference in Difference Studies With Staggered Treatment Adoption: Key Concepts and Practical Guidelines," NBER Working Papers 31842, National Bureau of Economic Research, Inc.
    6. Janet Currie & Lucas Davis & Michael Greenstone & Reed Walker, 2015. "Environmental Health Risks and Housing Values: Evidence from 1,600 Toxic Plant Openings and Closings," American Economic Review, American Economic Association, vol. 105(2), pages 678-709, February.
    7. Joshua D. Angrist & Jörn-Steffen Pischke, 2015. "The path from cause to effect: mastering 'metrics," CentrePiece - The magazine for economic performance 442, Centre for Economic Performance, LSE.
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    Cited by:

    1. Rüttenauer, Tobias & Kapelle, Nicole, 2024. "Panel Data Analysis," SocArXiv 3mfzq, Center for Open Science.

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