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Pareamento Exato Grosseiro para Dados em Painel×Estimador de Pareamento×
ÁreaInferência causalInferência causal
FamíliaRegression modelRegression model
Ano de origem2012 (CEM); 2021 (panel extension)1973
Autor originalIacus, King & Porro (CEM, 2012); panel extension via Imai, Kim & Wang (2021)Rubin (1973); large-sample theory by Abadie & Imbens (2006)
TipoMatching / quasi-experimentalNonparametric matching / causal inference
Fonte seminalIacus, 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 ↗
Outros nomesPanel CEM, CEM for panel data, coarsened exact matching with panel datanearest-neighbor matching, NNM, matching on covariates, covariate matching
Relacionados66
ResumoPanel Data Coarsened Exact Matching applies the Coarsened Exact Matching (CEM) algorithm to repeated-measures panel data, matching treated and control units within the same coarsened covariate strata across multiple time periods. It balances pre-treatment characteristics before estimating a causal treatment effect, combining the transparency of exact matching with the richer identification available in longitudinal datasets.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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ScholarGateComparar métodos: Panel Data Coarsened Exact Matching · Matching Estimator. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare