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Estymator skorelowanych efektów losowych Mundlaka-Chamberlaina (CRE)×Model efektów stałych dla danych panelowych×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania19782014
TwórcaYair Mundlak; Gary ChamberlainHsiao (textbook treatment); within transformation of panel data
TypPanel data estimatorPanel data regression
Źródło pierwotneMundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69–85. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Inne nazwyCorrelated Random Effects, CRE Estimator, Mundlak Device, Korelasyonlu Rassal Etkilerfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Pokrewne25
PodsumowanieThe Mundlak-Chamberlain correlated random effects (CRE) estimator, introduced by Mundlak (1978) and extended by Chamberlain (1982), is a panel data technique that reconciles the fixed effects and random effects approaches by explicitly modelling the correlation between unobserved individual heterogeneity and the observed regressors. By including within-group means of time-varying covariates as additional regressors in a random effects framework, CRE yields estimates numerically equivalent to the within (fixed effects) estimator while permitting identification of time-invariant variables.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGatePorównaj metody: Mundlak-Chamberlain · Panel Fixed Effects. Pobrano 2026-06-18 z https://scholargate.app/pl/compare