Regression model

Event Study Design (Causal Event Study)

The event study design is a generalised difference-in-differences model that estimates a separate treatment-effect coefficient for each period before and after an intervention, tracing the dynamics of the effect over event time. Its modern, heterogeneity-robust form was developed by Sun & Abraham (2021) and Callaway & Sant'Anna (2021).

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Sources

  1. Sun, L. & Abraham, S. (2021). Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects. Journal of Econometrics, 225(2), 175–199. DOI: 10.1016/j.jeconom.2020.09.006
  2. Callaway, B. & Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics, 225(2), 200–230. DOI: 10.1016/j.jeconom.2020.12.001

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Referenced by

ScholarGateEvent Study Design (Event Study Design (Causal Event Study)). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/event-study-causal