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The use of the maximum entropy method to estimate input-output coefficients from farm business accounting data

Author

Listed:
  • Ludo Peeters

    (Chercheur indépendant)

  • Yves Léon
  • Maurice Quinqu
  • Yves Surry

    (ESR - Unité de recherche d'Économie et Sociologie Rurales - INRA - Institut National de la Recherche Agronomique)

Abstract

Cet article a pour objet de montrer comment la méthode d'entropie maximum généralisée (GME) peut être utilisée pour estimer des coefficients input/output à partir de données comptables sur les exploitations agricoles. La méthode GME utilise la mesure d'information de Shannon comme outil d'estimation et d'inférence. Celle-ci permet d'introduire une cohérence supplémentaire et/ou des contraintes de calibrage à des systèmes d'équation. La performance de la méthode GME est comparée à trois autres approches d'estimation : la méthode des moindres carrés, l'estimation bayésienne, et la programmation linéaire. Ces différentes méthodes sont évaluées à l'aide de données comptables du RICA européen (Réseau d'information comptable agricole) relatives à un groupe d'exploitations d'élevage mixte (viande bovine/lait). On conclut que la méthode GME est une alternative intéressante par rapport aux méthodes plus "traditionnelles".

Suggested Citation

  • Ludo Peeters & Yves Léon & Maurice Quinqu & Yves Surry, 1997. "The use of the maximum entropy method to estimate input-output coefficients from farm business accounting data," Working Papers hal-01931623, HAL.
    • Handle: RePEc:hal:wpaper:hal-01931623
    as

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