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تطابق دقیق تقریب‌زده اثرات درمان ناهمگن×روش تفاوت در تفاوت (Diff-in-Diff)×
حوزهاستنتاج علّیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش2012-20131994
پدیدآورIacus, King & Porro (CEM foundation, 2012); subgroup HTE extensions by Imai & colleaguesCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
نوعMatching-based causal inference with subgroup CATE estimationCausal inference / panel regression
منبع بنیادینIacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
نام‌های دیگرHTE-CEM, CEM with CATE estimation, subgroup CEM, coarsened exact matching with effect heterogeneitydiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
مرتبط55
خلاصهHeterogeneous treatment effect coarsened exact matching (HTE-CEM) extends the coarsened exact matching framework to estimate how treatment effects vary across subgroups or individual characteristics. After CEM creates balanced strata by coarsening continuous covariates into bins and exactly matching units within each bin, conditional average treatment effects (CATEs) are computed within or across these strata, revealing where treatment works, for whom, and by how much.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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  1. v1
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Heterogeneous Treatment Effect Coarsened Exact Matching · Difference-in-Differences. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare