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Testing convergence of European regions: A semiparametric approach

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Author Info

  • Azomahou, Théophile T.
  • El ouardighi, Jalal
  • Nguyen-Van, Phu
  • Pham, Thi Kim Cuong

Abstract

We provide a reappraisal of income convergence across European regions over the last two decades by using a semiparametric partially linear model to approximate the relationship between the average growth rate of GDP per capita and the initial GDP per capita. Estimation results point out both country heterogeneity and non-linearity in the convergence process. The findings suggest that low income regions, in particular those from new adhesion countries, diverge while medium income regions converge and that there is no evidence of convergence for high income regions.

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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 28 (2011)
Issue (Month): 3 (May)
Pages: 1202-1210

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Handle: RePEc:eee:ecmode:v:28:y:2011:i:3:p:1202-1210

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Web page: http://www.elsevier.com/locate/inca/30411

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Keywords: Convergence Heterogeneity Non-linearity Kernel estimator European regions;

References

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Citations

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Cited by:
  1. Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).
  2. Maza, Adolfo & Hierro, María & Villaverde, José, 2012. "Income distribution dynamics across European regions: Re-examining the role of space," Economic Modelling, Elsevier, vol. 29(6), pages 2632-2640.
  3. Tani, Massimiliano & Manuguerra, Maurizio, 2013. "The Effect of Migration and Spatial Connectivity on Regional Skill Endowments across Europe: 1988-2010," IZA Discussion Papers 7292, Institute for the Study of Labor (IZA).

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