Regression modelQuasi-experimental / causal inference

Policy Evaluation Event Study Design

A policy evaluation event study design is a quasi-experimental approach that estimates causal effects of a policy by plotting treatment-period-by-period coefficients around a common event time. It extends difference-in-differences to visualize both pre-treatment parallel trends and the dynamic post-treatment evolution of the policy effect, and has become the standard credibility check in applied policy research.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. 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
  2. Freyaldenhoven, S., Hansen, C., & Shapiro, J. M. (2019). Pre-event trends in the panel event-study design. American Economic Review, 109(9), 3307-3338. DOI: 10.1257/aer.20180609

Related methods

ScholarGatePolicy Evaluation Event Study Design (Policy Evaluation Event Study Design for Causal Inference). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/policy-evaluation-event-study-design