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Mundlak-Chamberlain

The 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.

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Mundlak-Chamberlain Correlated Random Effects

Rekodi ya mbinu ya kiajenda · regression-model / econometrics

Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69–85. · DOI 10.2307/1913646

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Same method familyHausman Testmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.