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Estimation in large and disaggregated demand systems : an estimator for conditionally linear systems
[[L'estimation dans les systèmes de demande étendus et désagrégés : un estimateur pour des systèmes conditionnellement linéaires]]

Author

Listed:
  • R. Blundell

    (Inconnu)

  • J.M. Robin

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

Abstract

Les systèmes de demande empirique qui n'imposent pas de restrictions déraisonnables aux préférences sont typiquement non linéaires. Pour des objectifs empiriques, une estimation exacte de systèmes d'équation non linéaires, pour de grands panels de données à plus d'un petit nombre d'équations, a typiquement été limitée par des non-linéarités dans les paramètres d'intérêt. Les auteurs démontrent cependant que tous les systèmes connus possèdent la propriété de linéarité conditionnelle, y compris le Translog, AILES (Almost Ideal and Linear Expenditure Systems). Un estimateur linéaire itératif (ILLE) est proposé pour de grands systèmes à équation simultanée non linéaire, conditionnellement linéaires sous paramètres inconnus. Les auteurs montrent que l'estimateur est consistant, et ses propriétés d'efficacité asymptotique sont dérivées. Une application est donnée pour un système de demande quadratique à 22 composantes utilisant, au niveau des ménages, les données d'une série chronologique à section croisée itérative tirée de la "UK Family Expenditure Survey 1974-1993".

Suggested Citation

  • R. Blundell & J.M. Robin, 1999. "Estimation in large and disaggregated demand systems : an estimator for conditionally linear systems [[L'estimation dans les systèmes de demande étendus et désagrégés : un estimateur pour des systè," Post-Print hal-02686952, HAL.
    • Handle: RePEc:hal:journl:hal-02686952
    as

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    References listed on IDEAS

    as
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