ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Model slučajnih učinaka (Robust Random Effects Model)×Model panel podataka s nasumičnim učincima×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1980s–2000s1966
TvoracWooldridge; White (sandwich covariance); ArellanoBalestra & Nerlove
VrstaPanel GLS estimator with robust inferencePanel data estimator
Temeljni izvorWooldridge, 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 ↗
Drugi nazivirobust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust RErandom effects estimator, RE model, GLS random effects, error components model
Srodne55
SažetakThe 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Robust Random Effects Model · Panel Random Effects Model. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare