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حوزهاستنتاج علّیاستنتاج علّی
خانوادهRegression modelRegression model
سال پیدایش2012–20211973
پدیدآورIacus, King & Porro (CEM, 2012); extended to multi-period panel settingsRubin (1973); large-sample theory by Abadie & Imbens (2006)
نوعNon-parametric matching / causal inferenceNonparametric matching / causal inference
منبع بنیادینIacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1-24. DOI ↗Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267. DOI ↗
نام‌های دیگرMulti-period CEM, Longitudinal CEM, Panel CEM, Multi-wave CEMnearest-neighbor matching, NNM, matching on covariates, covariate matching
مرتبط66
خلاصهMulti-period Coarsened Exact Matching (multi-period CEM) extends the CEM framework of Iacus, King, and Porro to longitudinal data with multiple pre- and post-treatment periods. It bins continuous covariates into coarsened categories, matches treated and control units that fall into the same cells across all relevant time periods, and then estimates a weighted average treatment effect that accounts for temporal structure.The matching estimator identifies the causal effect of a treatment by pairing each treated unit with one or more untreated units that have similar observed characteristics. Formalised by Rubin (1973) and given rigorous large-sample theory by Abadie and Imbens (2006), it constructs a credible control group from observational data without requiring a parametric model for the outcome.
ScholarGateمجموعه‌داده
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  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Multi-period Coarsened Exact Matching · Matching Estimator. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare