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Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français

Author

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  • Laurent Gobillon

    () (INED - Institut national d'études démographiques, PSE - Paris School of Economics, PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, CEPR - Center for Economic Policy Research - CEPR)

  • François-Charles Wolff

    () (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

Abstract

Cet article propose une évaluation de l'introduction d'une nouvelle technique de pêche aux Sables d'Olonne sur la qualité des poissons pêchés à partir de la méthode des contrôles synthétiques et de l'estimation de modèles à facteurs. L'estimation est menée sur des données agrégées au niveau des criées françaises sur la période 2009-2012. Notre estimateur préféré de l'effet de l'innovation à composition constante des espèces pêchées est obtenu avec le modèle à facteurs et correspond à un accroissement de 16,9% de la proportion de poissons présentant la meilleure qualité. La méthode des contrôles synthétiques conduit à un effet moindre de l'innovation (8,3%), mais elle repose sur une interpolation à partir des criées de contrôle qui est assez approximative.

Suggested Citation

  • Laurent Gobillon & François-Charles Wolff, 2015. "Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français," PSE Working Papers halshs-01183455, HAL.
  • Handle: RePEc:hal:psewpa:halshs-01183455
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01183455
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    References listed on IDEAS

    as
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    8. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
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    More about this item

    Keywords

    poissons; innovation; qualité des produits; contrôles synthétiques; modèles à facteurs;

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