ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Robustin Hausmanin spesifikaatiotesti×Satunnaisten vaikutusten malli paneelidatalle×
TieteenalaTilastotiedeEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi19782021
KehittäjäHausman (1978); robust variant after Arellano (1993)Baltagi (textbook treatment); classical random-effects panel estimator
TyyppiPanel model specification testPanel data regression
AlkuperäislähdeHausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. DOI ↗
Rinnakkaisnimetrobust hausman specification test, cluster-robust hausman test, Robust Hausman Testirandom effects panel model, RE estimator, GLS random effects, Panel Veri — Rassal Etkiler Modeli
Liittyvät55
TiivistelmäThe Robust Hausman Test is a heteroscedasticity- and autocorrelation-robust version of the Hausman specification test, used to choose between fixed-effects and random-effects estimators in panel-data models. It builds on Hausman's 1978 test and the robust treatment of correlated effects developed by Arellano (1993).The Random Effects model is a panel-data regression that treats unobserved individual heterogeneity as a random component drawn from a common distribution, rather than a separate parameter for each unit. It is a standard estimator in panel econometrics, developed in textbook treatments such as Baltagi's Econometric Analysis of Panel Data (2021).
ScholarGateAineisto
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: Robust Hausman Test · Random Effects Model. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare