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Model Kesilapan Rawak (Robust Random Effects Model)×Model Kesan Rawak Panel×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1980s–2000s1966
PengasasWooldridge; White (sandwich covariance); ArellanoBalestra & Nerlove
JenisPanel GLS estimator with robust inferencePanel data estimator
Sumber perintisWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Balestra, 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 ↗
Aliasrobust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust RErandom effects estimator, RE model, GLS random effects, error components model
Berkaitan55
RingkasanThe Robust Random Effects model estimates panel data relationships using the GLS random effects estimator while replacing the conventional standard errors with sandwich (heteroscedasticity- and cluster-robust) variance estimates. This protects inference against arbitrary within-group correlation and heteroscedasticity without discarding the efficiency gains of random effects when unit-specific effects are genuinely uncorrelated with the regressors.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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ScholarGateBandingkan kaedah: Robust Random Effects Model · Panel Random Effects Model. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare