ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Робусни модел фиксних ефеката×Hausmanov test za panel podatke×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19871978
TvoracManuel ArellanoJerry A. Hausman
TipPanel regression with robust inferenceSpecification test
Temeljni izvorArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Drugi naziviFE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inferenceHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Srodne55
SažetakThe 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 Hausman specification test for panel data determines whether individual-specific effects are correlated with the regressors — a correlation that would make the random effects estimator inconsistent. A statistically significant result favours the fixed effects model; a non-significant result supports the more efficient random effects model.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Robust Fixed Effects Model · Panel Hausman Test. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare