השוואת שיטות

	Dynamic Panel Event Study	מודל האפקטים הקבועים לנתוני פאנל
תחום	הסקה סיבתית	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	2021	2014
הוגה השיטה	Sun & Abraham (2021); Callaway & Sant'Anna (2021)	Hsiao (textbook treatment); within transformation of panel data
סוג	Quasi-experimental / causal inference	Panel data regression
מקור מכונן	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
כינויים	dynamic event study, panel event-study regression, leads-and-lags event study, event-time panel design	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
קשורות	4	5
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.	The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).