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Local versus Global Convergence in Europe: A Bayesian Spatial Econometric Approach

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Author Info

  • Ertur, Cem

    (U Orleans)

  • Le Gallo, Julie

    (CRESE, U Franche-Comte)

  • LeSage, James P.

    (TX State U)

Abstract

Numerous studies have pointed to the econometric problems introduced by heterogeneity in cross-sectional data samples used to explore convergence suggested by neo-classical growth models. We introduce a local concept of convergence along with a Bayesian locally linear spatial estimation method to address these problems. The method allows global and local beta-convergence to be viewed in a continuous fashion. Inference regarding global convergence can be treated as a mixture distribution arising from local beta-convergence estimates from each region in the sample. Taking this approach eliminates the need to specify sub-samples and regimes as well as parameter variation schemes that have been used to model heterogeneity. We illustrate the method using a sample of 138 European regions.

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Bibliographic Info

Article provided by Southern Regional Science Association in its journal Review of Regional Studies.

Volume (Year): 37 (2007)
Issue (Month): 1 ()
Pages: 82-108

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Handle: RePEc:rre:publsh:v:37:y:2007:i:1:p:82-108

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Web page: http://www.srsa.org

Related research

Keywords: Spatial;

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Cited by:
  1. Cem Ertur & Wilfried Koch, 2006. "The Role of Human Capital and Technological Interdependence in Growth and Convergence Processes: International Evidence," DEGIT Conference Papers c011_029, DEGIT, Dynamics, Economic Growth, and International Trade.
  2. Andrea Caragliu & Peter Nijkamp, 2011. "Cognitive Capital and Islands of Innovation: The Lucas Growth Model from a Regional Perspective," Tinbergen Institute Discussion Papers 11-116/3, Tinbergen Institute.
  3. Manfred Fischer & Claudia Stirböck, 2006. "Pan-European regional income growth and club-convergence," The Annals of Regional Science, Springer, vol. 40(4), pages 693-721, December.
  4. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
  5. Jesús Mur & Fernando López & Ana Angulo, 2010. "Instability in spatial error models: an application to the hypothesis of convergence in the European case," Journal of Geographical Systems, Springer, vol. 12(3), pages 259-280, September.
  6. Nicolas Debarsy & Cem Ertur, 2006. "The European Enlargement Process and Regional Convergence Revisited: Spatial Effects Still Matter," ERSA conference papers ersa06p198, European Regional Science Association.
  7. KOCH, Wilfried, 2006. "Growth and Spatial Dependence in Europe," LEG - Document de travail - Economie 2006-02, LEG, Laboratoire d'Economie et de Gestion, CNRS UMR 5118, Université de Bourgogne.
  8. Maria ABREU & Henri L.F. DE GROOT & Raymond J.G.M. FLORAX, 2005. "Space And Growth: A Survey Of Empirical Evidence And Methods," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 13-44.
  9. Ramajo, Julián & Márquez, Miguel A. & Hewings, Geoffrey J.D. & Salinas, María M., 2008. "Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions?," European Economic Review, Elsevier, vol. 52(3), pages 551-567, April.
  10. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
  11. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Space and Growth," Tinbergen Institute Discussion Papers 04-129/3, Tinbergen Institute.
  12. Wilfried Koch, 2005. "Neighborhood Effects In The Solow Model With Spatial Externalities," ERSA conference papers ersa05p723, European Regional Science Association.

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