ScholarGate
Asistent

Uporedite metode

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

Model slučajnih efekata za panel podatke×Hausmanov test specifikacije (FE vs RE)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19781978
TvoracBaltagi (textbook treatment); Hausman specification testJerry A. Hausman
TipPanel data regressionSpecification test for panel data models
Temeljni izvorHausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Drugi nazivirandom effects panel regression, RE estimator, GLS panel estimator, Panel Rassal Etkiler ModeliHausman specification test, FE vs RE test, Durbin-Wu-Hausman test, Hausman Spesifikasyon Testi (FE vs RE)
Srodne55
SažetakThe random effects model is a panel data estimator that explains an outcome using both within-unit and between-unit variation, treating the unobserved unit-specific heterogeneity as a random, normally distributed term rather than a fixed parameter. Its validity is judged with the Hausman (1978) specification test, and it is developed in standard treatments such as Baltagi's Econometric Analysis of Panel Data.The Hausman test is a specification test, introduced by Jerry A. Hausman in 1978, that decides between the fixed-effects (FE) and random-effects (RE) estimators in panel data models. The null hypothesis is that the random-effects estimator is consistent and efficient and should be preferred; the alternative is that random effects is inconsistent and fixed effects is required because the unit-specific effects are correlated with the explanatory variables.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 1 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

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