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Regression model

Panel Data Random Effects Model

The Random Effects model is a panel-data regression that treats unobserved individual heterogeneity as a random component drawn from a common distribution, rather than a separate parameter for each unit. It is a standard estimator in panel econometrics, developed in textbook treatments such as Baltagi's Econometric Analysis of Panel Data (2021).

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Sources

  1. Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. DOI: 10.1007/978-3-030-53953-5 ↗

Related methods

Difference-in-DifferencesInstrumental Variables in Health ResearchOLS RegressionPanel Fixed EffectsRidge Regression

Referenced by

Augmented Mean Group EstimatorBayesian Random Effects ModelHausman TestNonlinear Panel Data AnalysisPanel Fixed EffectsPanel Simple Linear RegressionRobust Hausman TestSystem GMMTime-varying Parameter Panel Data Analysis

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ScholarGate — Random Effects Model (Panel Data Random Effects Model). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/panel-random-effects