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Odhadovač viacperiódového párovania×Odhadovač založený na párovaní×
OdborKauzálna inferenciaKauzálna inferencia
RodinaRegression modelRegression model
Rok vzniku20051973
TvorcaAbadie (2005); Imbens & Wooldridge (2009)Rubin (1973); large-sample theory by Abadie & Imbens (2006)
TypQuasi-experimental / causal inferenceNonparametric matching / causal inference
Pôvodný zdrojAbadie, 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 ↗
Ďalšie názvypanel matching estimator, longitudinal matching, multi-wave matching, repeated-cross-section matchingnearest-neighbor matching, NNM, matching on covariates, covariate matching
Príbuzné66
ZhrnutieThe 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.
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ScholarGatePorovnať metódy: Multi-period Matching Estimator · Matching Estimator. Získané 2026-06-19 z https://scholargate.app/sk/compare