Σύγκριση μεθόδων

	Δυναμική Ανάλυση Αντίθετων Επιπτώσεων (Dynamic Counterfactual Impact Evaluation)	Δυναμική Διαφορών σε Διαφορές
Πεδίο	Αιτιακή Συμπερασματολογία	Αιτιακή Συμπερασματολογία
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1986–2009	2021
Δημιουργός	Robins (1986); Lechner (2009) for sequential treatment settings	Callaway & Sant'Anna; Sun & Abraham
Τύπος	Causal inference / program evaluation	Causal inference / quasi-experimental
Θεμελιώδης πηγή	Robins, J. M. (1986). A new approach to causal inference in mortality studies with a sustained exposure period — application to control of the healthy worker survivor effect. Mathematical Modelling, 7(9-12), 1393-1512.	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.
Εναλλακτικές ονομασίες	dynamic CIE, dynamic treatment evaluation, time-varying counterfactual analysis, longitudinal counterfactual evaluation	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD
Συναφείς	6	4
Σύνοψη	Dynamic Counterfactual Impact Evaluation (dynamic CIE) extends standard counterfactual program evaluation to settings where treatment is assigned sequentially across multiple periods. Rather than comparing a single treated versus untreated state, it estimates the causal effect of entire treatment trajectories or regimes, accounting for how intermediate outcomes and time-varying covariates feed back into subsequent treatment decisions.	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.