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多期間マッチング推定量×粗化完全マッチング(CEM)×
分野因果推論因果推論
系統Regression modelRegression model
提唱年20052011-2012
提唱者Abadie (2005); Imbens & Wooldridge (2009)Iacus, King, & Porro
種類Quasi-experimental / causal inferenceMatching / causal inference
原典Abadie, A. (2005). Semiparametric Difference-in-Differences Estimators. Review of Economic Studies, 72(1), 1-19. DOI ↗Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗
別名panel matching estimator, longitudinal matching, multi-wave matching, repeated-cross-section matchingCEM, coarsened matching, monotonic imbalance bounding matching
関連66
概要The multi-period matching estimator extends the standard matching framework to settings with multiple time periods, pairing each treated unit to similar untreated units based on pre-treatment covariates or propensity scores, then using within-pair before-after differences to estimate the average treatment effect on the treated (ATT). Leveraging repeated observations, it simultaneously controls for observed confounders and time-invariant unobserved heterogeneity.Coarsened Exact Matching is a preprocessing method that achieves covariate balance by temporarily coarsening continuous variables into bins, exactly matching treated and control units within those bins, and then discarding all unmatched units. Introduced by Iacus, King, and Porro (2011, 2012), it bounds imbalance on each covariate independently, yielding a matched sample on which any estimator can be applied without relying on a propensity score model.
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ScholarGate手法を比較: Multi-period Matching Estimator · Coarsened Exact Matching. 2026-06-19に以下より取得 https://scholargate.app/ja/compare