השוואת שיטות

	Dynamic Panel Event Study	הפרש-הפרשים דינמי
תחום	הסקה סיבתית	הסקה סיבתית
משפחה	Regression model	Regression model
שנת המקור	2021	2021
הוגה השיטה	Sun & Abraham (2021); Callaway & Sant'Anna (2021)	Callaway & Sant'Anna; Sun & Abraham
סוג	Quasi-experimental / causal inference	Causal inference / quasi-experimental
מקור מכונן	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.
כינויים	dynamic event study, panel event-study regression, leads-and-lags event study, event-time panel design	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD
קשורות	4	4
תקציר	The dynamic panel event study is a quasi-experimental method that uses panel data to trace out how a treatment effect evolves over time — before and after a defining event — by estimating a flexible regression of leads and lags around the treatment date. It simultaneously tests for pre-existing parallel trends and maps the full dynamic profile of causal impact across multiple post-event periods.	Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time.