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Estimation semi-paramétrique de la convergence des régions européennes

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  • Théophile T. Azomahou
  • Jalal El Ouardighi
  • Phu Nguyen Van
  • Thi Kim Cuong Pham

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," Economie & Prévision, La Documentation Française, vol. 0(2), pages 97-110.
    • Handle: RePEc:cai:ecoldc:ecop_173_0097
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