Regression modelEconometrics / time series
Panel Random Effects Model
The panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.
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Sources
- Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI: 10.2307/1909771 ↗
- Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Related methods
Referenced by
Fourier Panel Data AnalysisFourier Random Effects ModelPanel Arellano-Bond GMMPanel Dynamic Panel Data ModelPanel Fixed Effects ModelPanel GLSPanel Hausman TestPanel Quantile-on-Quantile RegressionPanel System GMMRobust Fixed Effects ModelRobust Panel Data AnalysisRobust Random Effects ModelStructural Break Random Effects ModelTime-varying parameter random effects model