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Robustní analýza panelových dat×Model s fixními efekty pro panelová data×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku19871978
TvůrceArellano (1987); White (1980) heteroscedasticity-consistent frameworkMundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
TypRobust estimation / inference correctionPanel regression estimator
Původní zdrojArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Další názvyrobust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimatorwithin estimator, FE model, within-group estimator, LSDV model
Příbuzné65
ShrnutíRobust panel data analysis applies standard panel estimators — fixed effects, random effects, or pooled OLS — while replacing conventional standard errors with cluster-robust or heteroscedasticity-consistent (HC) variants. The point estimates remain unchanged; what changes is the variance-covariance matrix used for inference, making t-tests and F-tests valid even when errors are heteroscedastic or correlated within cross-sectional units over time.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.
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ScholarGatePorovnat metody: Robust Panel Data Analysis · Panel Fixed Effects Model. Získáno 2026-06-15 z https://scholargate.app/cs/compare