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ارزیابی اثرات علی علی‌رغم شرایط متقابل در دوره‌های متعدد×روش تفاوت در تفاوت (Diff-in-Diff)×
حوزهاستنتاج علّیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش2000s–2010s1994
پدیدآورDeveloped through EU policy evaluation practice (European Commission); formalized by Lechner, Caliendo, and related econometriciansCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
نوعCausal inference / quasi-experimental evaluationCausal inference / panel regression
منبع بنیادینCaliendo, M., & Kopeinig, S. (2008). Some Practical Guidance for the Implementation of Propensity Score Matching. Journal of Economic Surveys, 22(1), 31-72. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
نام‌های دیگرmulti-period CIE, longitudinal counterfactual evaluation, dynamic counterfactual impact evaluation, multi-wave CIEdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
مرتبط45
خلاصهMulti-period Counterfactual Impact Evaluation (CIE) estimates the causal effect of a policy or program by constructing what would have happened to treated units across multiple time periods had they not been treated. Unlike single-period evaluations, it tracks treatment effects as they evolve over time, capturing dynamic, delayed, or fading impacts that a two-period comparison would miss.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.
ScholarGateمجموعه‌داده
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ScholarGateمقایسهٔ روش‌ها: Multi-period Counterfactual Impact Evaluation · Difference-in-Differences. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare