This website uses cookies.

By clicking the "Accept" button or continuing to browse our site, you agree to first-party and session-only cookies being stored on your device to enhance site navigation and analyze site performance and traffic. For more information on our use of cookies, please see our Privacy Policy.

  1. Home
  2. Journals
  3. AEA Papers and Proceedings
  4. May 2024
  5. Event Studies with a Continuous Treatment

AEA Papers and Proceedings

ISSN 2574-0768 (Print) | ISSN 2574-0776 (Online)

Menu

Event Studies with a Continuous Treatment

  • Brantly Callaway
  • Andrew Goodman-Bacon
  • Pedro H. C. Sant'Anna
AEA Papers and Proceedings
vol. 114, May 2024
(pp. 601–05)
Download Full Text PDF

Abstract

This paper builds on the identification results and estimation tools for continuous difference-in-difference designs in Callaway, Goodman-Bacon, and Sant'Anna (2024) to discuss aggregation strategies for event studies with continuous treatments. Estimates from continuous designs are functions of the treatment dosage/intensity variable. Nonparametric plots of these functions show heterogeneity across doses but not heterogeneity over time. Event-study-type plots of aggregated parameters achieve the opposite. We describe how partially aggregating across treatment doses and event time can lead to readable yet nuanced figures that reflect how causal effects evolve over time, potentially in different parts of the treatment dose distribution.

Citation

Callaway, Brantly, Andrew Goodman-Bacon, and Pedro H. C. Sant'Anna. 2024. "Event Studies with a Continuous Treatment." AEA Papers and Proceedings, 114: 601–05. DOI: 10.1257/pandp.20241047

Additional Materials

JEL Classification

  • C13 Estimation: General
  • C14 Semiparametric and Nonparametric Methods: General
  • C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
  • C51 Model Construction and Estimation