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Econométrie de la concurrence entre produits différenciés : théorie et méthodes empiriques

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  • Bonnet, C.

Abstract

La concentration industrielle n'a cessé d'augmenter ces vingt dernières années. Cette concentration est présente autant chez les producteurs que chez les distributeurs. Par conséquent, analyser le pouvoir de marché est devenu primordial. La mesure du pouvoir de marché nécessite l'analyse des interactions concurrentielles entre les distributeurs et les producteurs. Cette analyse repose sur des méthodes d'économétrie structurelle. La méthodologie consiste à estimer les marges des acteurs du marché à partir de paramètres estimés de la demande et de tester différentes interactions stratégiques entre les membres de l'industrie. Cet article propose une revue de cette littérature. Ainsi l'objectif est de faire le point sur les modèles utilisés pour estimer la demande de choix discrets, en l'occurrence les modèles logit multinomiaux, et sur la modélisation des interactions stratégiques entre les distributeurs et les producteurs.

Suggested Citation

  • Bonnet, C., 2005. "Econométrie de la concurrence entre produits différenciés : théorie et méthodes empiriques," Economics Working Paper Archive (Toulouse) 200512, French Institute for Agronomy Research (INRA), Economics Laboratory in Toulouse (ESR Toulouse).
  • Handle: RePEc:rea:inrawp:200512
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    More about this item

    Keywords

    ECONOMETRIE; CONCURRENCE ECONOMIQUE; DIFFERENCIATION DES PRODUITS; DISTRIBUTION; PRODUCTION ; MODELE LOGIT;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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