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Les methodes du bootstrap dans les modeles de regression

Author

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  • Flachaire, E.

Abstract

Dans la pratique, la plupart des statistiques de test ont une distribution de probabilite de forme inconnue. Generalement, on utilise leur loi asymptotique comme approximation de la vraie loi. Mais, si l'echelon dont on dispose n'est pas de taille suffisante cette approximation peut etre de mauvaise qualite et les test bases dessus largement biaises.

Suggested Citation

  • Flachaire, E., 1999. "Les methodes du bootstrap dans les modeles de regression," G.R.E.Q.A.M. 99c10, Universite Aix-Marseille III.
    • Handle: RePEc:fth:aixmeq:99c10
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    2. Corinne Prost & Cédric Audenis, 2003. "Finances publiques et cycle économique : une autre approche," Économie et Prévision, Programme National Persée, vol. 157(1), pages 1-12.
    3. Jérôme Teïletche & Florent Pochon & Evguenia Iankova, 2009. "L’impact des décisions des agences de notation sur le prix des actions : une comparaison du cas français avec les cas européen et américain," Économie et Prévision, Programme National Persée, vol. 188(2), pages 1-21.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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