Сравнение на методи

	Дизайн на многопериодно събитие за изследване	Метод на разликите в разликите (Difference-in-Differences, DiD)
Област	Причинно-следствено заключение	Иконометрия
Семейство	Regression model	Regression model
Година на възникване	1993	1994
Създател	Jacobson, LaLonde & Sullivan (1993); seminal methodological treatment by Sun & Abraham (2021)	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Тип	Quasi-experimental causal inference	Causal inference / panel regression
Основополагащ източник	Jacobson, L. S., LaLonde, R. J., & Sullivan, D. G. (1993). Earnings losses of displaced workers. American Economic Review, 83(4), 888-909.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Други названия	multi-period event study, dynamic event study, relative-time event study, leads-and-lags design	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Свързани	3	5
Резюме	The multi-period event study design estimates causal treatment effects at each point in time relative to the treatment onset, using panel data with multiple pre- and post-treatment periods. By plotting the full path of treatment coefficients rather than a single average, it reveals how effects build up, fade, or remain stable over time — and allows formal tests of pre-treatment parallel trends across many periods simultaneously.	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.