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Estimation semi-paramétrique de la convergence des régions européennes

Théophile Azomahou, Jalal El Ouardighi, Phu Nguyen Van () and Thi Kim Cuong Pham ()
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Théophile 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

Authors registered in the RePEc Author Service: Phu Nguyen-Van

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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.

Keywords: Heterogeneity; Convergence; Economic Growth; Linear estimation of local core; Croissance économique; Hétérogénéité; Estimation du noyau local linéaire (search for similar items in EconPapers)
Date: 2006
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Published in Economie et Prévision, 2006, 2 (173), pp.97-110. ⟨10.3917/ecop.173.0097⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00279381

DOI: 10.3917/ecop.173.0097

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