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Ewaluacja wpływu metodą kontrfaktyczną (CIE)×Metoda różnic w różnicach (Diff-in-Diff)×
DziedzinaWnioskowanie przyczynoweEkonometria
RodzinaRegression modelRegression model
Rok powstania1970s–2000s1994
TwórcaHeckman, Imbens, Rubin, and the program evaluation literatureCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypCausal inference / program evaluationCausal inference / panel regression
Źródło pierwotneHeckman, J. J., & Vytlacil, E. J. (2007). Econometric evaluation of social programs, Part I: Causal models, structural models and econometric policy evaluation. Handbook of Econometrics, 6B, 4779-4874. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Inne nazwyCIE, counterfactual evaluation, counterfactual policy evaluation, impact evaluationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Pokrewne55
PodsumowanieCounterfactual Impact Evaluation is a family of causal methods that estimates the effect of an intervention by comparing what actually happened to participants with what would have happened had the intervention not taken place. Formalised in the Rubin Causal Model and extended by Heckman, Imbens and others, CIE underlies most modern program and policy evaluation practice.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.
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  3. PUBLISHED

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ScholarGatePorównaj metody: Counterfactual Impact Evaluation · Difference-in-Differences. Pobrano 2026-06-17 z https://scholargate.app/pl/compare