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Random Effects Panel Model

The random effects model is a panel data estimator that explains an outcome using both within-unit and between-unit variation, treating the unobserved unit-specific heterogeneity as a random, normally distributed term rather than a fixed parameter. Its validity is judged with the Hausman (1978) specification test, and it is developed in standard treatments such as Baltagi's Econometric Analysis of Panel Data.

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Random Effects Model for Panel Data

Taksonomisk metoderegister · regression-model / econometrics

Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. · DOI 10.2307/1913827
Baltagi, B. H. (2005). Econometric Analysis of Panel Data. Wiley. · ISBN 978-0470014561

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Same method familyHausman Testmachine-suggested · Relational suggestion, not evidence.See alsoHierarchical Linear Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyPooled OLSmachine-suggested · Relational suggestion, not evidence.