Regression modelQuasi-experimental / causal inference

Robust Panel Event Study

A robust panel event study extends the standard panel event study design by applying heteroskedasticity- and autocorrelation-robust (HAC) standard errors and, where staggered treatment adoption exists, interaction-weighted estimators that remain valid even when treatment effects are heterogeneous across cohorts and time periods. It is widely used in economics, finance, and policy research to trace the dynamic causal path of an intervention.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

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. Freyaldenhoven, S., Hansen, C., Shapiro, J. M., & Weidner, M. (2021). Visualization, Identification, and Estimation in the Linear Panel Event-Study Design. NBER Working Paper No. 29170. link

Related methods

ScholarGateRobust Panel Event Study (Robust Panel Event Study Design). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/robust-panel-event-study