Article Dans Une Revue Computational Statistics Année : 2002

Bootstrapping heteroskedasticity consistent covariance matrix estimator

Résumé

Recent results of Cribari-Neto and Zarkos (1999) show that bootstrap methods can be successfully used to estimate a heteroskedasticity robust covariance matrix estimator. In this paper, we show that the wild bootstrap estimator can be calculated directly, without simulations, as it is just a more traditional estimator. Their experimental results seem to conflict with those of MacKinnon and White (1985); we reconcile these two results.
Fichier principal
Vignette du fichier
Flachaire_01.pdf (80.28 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

halshs-00175897 , version 1 (01-10-2007)

Identifiants

  • HAL Id : halshs-00175897 , version 1

Citer

Emmanuel Flachaire. Bootstrapping heteroskedasticity consistent covariance matrix estimator. Computational Statistics, 2002, 17 (4), pp.501-506. ⟨halshs-00175897⟩

Collections

UNIV-PARIS1 CNRS
84 Consultations
859 Téléchargements

Partager

More