Modeling event studies with heterogeneous treatment effects

Arbeitspapier

This paper develops a simple approach to overcome the shortcomings of using a standard, single treatment-effect event study to assess the ability of an empirical model to measure heterogeneous treatment effects. Equally as important, we discuss how the standard errors reported in a typical event-study analysis for the posttreatment event-time effects are, without additional information, of limited use for assessing posttreatment variations in the treatment effects. The simple reformulation of the standard event-study approach described and illustrated with artificially constructed data in this paper overcomes the limitations of conventional event-study analyses.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Working Paper ; No. 2023-11

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
• Thema: event studies ; heterogeneous treatment effects

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Argys, Laura M. ; Mroz, Thomas A. ; Pitts, M. Melinda
• Ereignis: Veröffentlichung
• (wer): Federal Reserve Bank of Atlanta
• (wo): Atlanta, GA
• (wann): 2023

Weitere Informationen

• DOI: doi:10.29338/wp2023-11
• Handle: http://hdl.handle.net/10419/279466
• Letzte Aktualisierung: 20.09.2024, 08:23 MESZ