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Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Контрфактуативна оцінка впливу (КОВ)×Різниця різниць (Diff-in-Diff)×
ГалузьПричинно-наслідковий висновокЕконометрика
РодинаRegression modelRegression model
Рік появи1970s–2000s1994
Автор методуHeckman, Imbens, Rubin, and the program evaluation literatureCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
ТипCausal inference / program evaluationCausal inference / panel regression
Основоположне джерелоHeckman, 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
Інші назвиCIE, counterfactual evaluation, counterfactual policy evaluation, impact evaluationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Пов'язані55
ПідсумокCounterfactual 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.
ScholarGateНабір даних
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  3. PUBLISHED
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ScholarGateПорівняння методів: Counterfactual Impact Evaluation · Difference-in-Differences. Отримано 2026-06-17 з https://scholargate.app/uk/compare