ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Robustní Hausmanův specifikacní test×Permutační (randomizační) test×
OborStatistikaStatistika
RodinaRegression modelRegression model
Rok vzniku19782005
TvůrceHausman (1978); robust variant after Arellano (1993)Good (2005); Edgington & Onghena (2007); resampling tradition
TypPanel model specification testNonparametric resampling test
Původní zdrojHausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Další názvyrobust hausman specification test, cluster-robust hausman test, Robust Hausman Testirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Příbuzné55
ShrnutíThe 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 permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Robust Hausman Test · Permutation Test. Získáno 2026-06-17 z https://scholargate.app/cs/compare