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बहु-अवधि मिलान अनुमानक×मैचिंग एस्टीमेटर (Matching Estimator)×
क्षेत्रकारणात्मक अनुमानकारणात्मक अनुमान
परिवारRegression modelRegression model
उद्भव वर्ष20051973
प्रवर्तकAbadie (2005); Imbens & Wooldridge (2009)Rubin (1973); large-sample theory by Abadie & Imbens (2006)
प्रकारQuasi-experimental / causal inferenceNonparametric matching / causal inference
मौलिक स्रोतAbadie, A. (2005). Semiparametric Difference-in-Differences Estimators. Review of Economic Studies, 72(1), 1-19. DOI ↗Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267. DOI ↗
उपनामpanel matching estimator, longitudinal matching, multi-wave matching, repeated-cross-section matchingnearest-neighbor matching, NNM, matching on covariates, covariate matching
संबंधित66
सारांशThe 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.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.
ScholarGateडेटासेट
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  1. v1
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  3. PUBLISHED

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