השוואת שיטות

	Dynamic Panel Event Study	הפרש-בהפרשים (דיד)
תחום	הסקה סיבתית	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	2021	1994
הוגה השיטה	Sun & Abraham (2021); Callaway & Sant'Anna (2021)	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
סוג	Quasi-experimental / causal inference	Causal inference / panel 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.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
כינויים	dynamic event study, panel event-study regression, leads-and-lags event study, event-time panel design	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
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.	Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.