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xtevent: Estimation and Visualization in the Linear Panel Event-Study Design

Author

Listed:
  • Constantino Carreto

  • Simon Freyaldenhoven
  • Christian Hansen
  • Jorge Perez Perez

  • Jesse Shapiro

Abstract

Linear panel models and the “event-study plots” that often accompany them are popular tools for learning about policy effects. We introduce the Stata package xtevent, which enables the construction of event-study plots following the suggestions in Freyaldenhoven et al. (Forthcoming). The package implements various procedures to estimate the underlying policy effects and allows for nonbinary policy variables and estimation adjusting for pre-event trends.

Suggested Citation

  • Constantino Carreto & Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2024. "xtevent: Estimation and Visualization in the Linear Panel Event-Study Design," Working Papers 24-15, Federal Reserve Bank of Philadelphia.
    • Handle: RePEc:fip:fedpwp:98677
    DOI: 10.21799/frbp.wp.2024.15
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    1. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    2. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LLC, vol. 21(4), pages 853-884, December.
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    4. Carlos Dobkin & Amy Finkelstein & Raymond Kluender & Matthew J. Notowidigdo, 2018. "The Economic Consequences of Hospital Admissions," American Economic Review, American Economic Association, vol. 108(2), pages 308-352, February.
    5. Amemiya, Takeshi, 1978. "A Note on a Random Coefficients Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 793-796, October.
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    8. Clément de Chaisemartin & Xavier d'Haultfoeuille & Yannick Guyonvarch, 2019. "DID_MULTIPLEGT: Stata module to estimate sharp Difference-in-Difference designs with multiple groups and periods," Sciences Po Economics Publications (main) hal-03946768, HAL.
    9. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    10. Freyberger, Joachim & Rai, Yoshiyasu, 2018. "Uniform confidence bands: Characterization and optimality," Journal of Econometrics, Elsevier, vol. 204(1), pages 119-130.
    11. Hansen, Christian B., 2007. "Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 670-694, October.
    12. Dobkin, Carlos & Finkelstein, Amy & Kluender, Raymond & Notowidigdo, Matthew J, 2018. "The Economic Consequences of Hospital Admissions," Santa Cruz Department of Economics, Working Paper Series qt3m71z8vr, Department of Economics, UC Santa Cruz.
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    Cited by:

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    2. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.

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    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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