So sánh phương pháp

	Mô hình Hiệu ứng Ngẫu nhiên Mạnh mẽ (Robust Random Effects Model)	Mô hình Hiệu ứng Ngẫu nhiên Bảng
Lĩnh vực	Kinh tế lượng	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1980s–2000s	1966
Người khởi xướng	Wooldridge; White (sandwich covariance); Arellano	Balestra & Nerlove
Loại	Panel GLS estimator with robust inference	Panel data estimator
Công trình gốc	Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586	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.
Tên gọi khác	robust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust RE	random effects estimator, RE model, GLS random effects, error components model
Liên quan	5	5
Tóm tắt	The 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.