Сравнение методов

	Модель с робастными фиксированными эффектами	Модель случайных эффектов для панельных данных
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1987	1966
Автор метода	Manuel Arellano	Balestra & Nerlove
Тип	Panel regression with robust inference	Panel data estimator
Основополагающий источник	Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434.	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.
Другие названия	FE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inference	random effects estimator, RE model, GLS random effects, error components model
Связанные	5	5
Сводка	The robust fixed effects model combines the within-group estimator for panel data with variance-covariance matrices that remain valid under heteroscedasticity and within-unit error correlation. Introduced by Arellano (1987), cluster-robust standard errors paired with the fixed effects estimator are now the default approach for credible panel data inference in economics and social science.	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.