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Estimation semi-paramétrique de la convergence des régions européennes

Author

Listed:
  • Théophile T. Azomahou

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Jalal El Ouardighi

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Phu Nguyen Van

    (THEMA - Théorie économique, modélisation et applications - UPN - Université Paris Nanterre - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

  • Thi Kim Cuong Pham

    (CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne)

Abstract

We use a partly linear semi-parametric model to study the convergence of European Union regions. The data are taken from the Eurostat base and cover 223 EU regions for the period 1990-2000. The estimation results indicate the presence of non-linearity and heterogeneity in the convergence process. Convergence occurs only in regions with low GDP per capita (approx. 8.5% of the sample). These regions converge at different speeds and can be caught in a poverty trap. By comparison with the linear regression model typically used in the literature, our test results show that the semi-parametric specification yields a better approximation of the data.

Suggested Citation

  • Théophile T. Azomahou & Jalal El Ouardighi & Phu Nguyen Van & Thi Kim Cuong Pham, 2006. "Estimation semi-paramétrique de la convergence des régions européennes," Post-Print hal-00279381, HAL.
  • Handle: RePEc:hal:journl:hal-00279381
    DOI: 10.3917/ecop.173.0097
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