Сравнение на методи

	Robust OLS (OLS с робастни стандартни грешки)	Модел с фиксирани ефекти за панелни данни
Област	Иконометрия	Иконометрия
Семейство	Regression model	Regression model
Година на възникване	1980	1978
Създател	Halbert White	Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
Тип	Linear regression with robust inference	Panel regression estimator
Основополагащ източник	White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838.	Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Други названия	HC robust regression, White robust OLS, sandwich estimator OLS, OLS with robust standard errors	within estimator, FE model, within-group estimator, LSDV model
Свързани	6	5
Резюме	Robust OLS applies ordinary least squares to estimate coefficients and then replaces the classical standard errors with heteroscedasticity-consistent (HC) standard errors — commonly called White standard errors. This leaves the point estimates unchanged while yielding valid t-statistics and confidence intervals even when the error variance is not constant across observations.	The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.