Estimation semi-paramétrique de la convergence des régions européennes

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

Economie & Prévision, 2006, vol. n° 173, issue 2, 97-110

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: convergence; economic growth; linear estimation of local core; heterogeneity (search for similar items in EconPapers)
Date: 2006
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Journal Article: Estimation semi-paramétrique de la convergence des régions européennes (2006)
Working Paper: Estimation semi-paramétrique de la convergence des régions européennes (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:cai:ecoldc:ecop_173_0097

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