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Using Constrained Optimization for the Identification of Convergence Clubs

  • Paolo Postiglione

    ()

  • M. Andreano

    ()

  • Roberto Benedetti

    ()

In the last years a central issue in regional economic growth debate is represented by the convergence problem. Many empirical economists have noticed that per-worker GDP of poor regions tend to converge to those of richer regions. However more recently it has been observed that the economic convergence might not be achieved if, in the empirical analysis, we consider the entire data set as one sample. The phenomenon should be analyzed considering regions as belonging to different sub-samples with quite similar economy. Many authors refer to this hypothesis as economic convergence clubs. The definition of these homogeneous groups represents a crucial issue in many regional economic growth studies. The aim of this paper is to propose a method for the identification of convergence clubs for the European regions at NUTS 2 level. The econometric specification used is based on the classical, and spatial augmented version of the conditional β-convergence model. Two different optimization algorithms for the identification of convergence clubs are proposed and compared: Simulated Annealing and Iterated Conditional Modes. Copyright Springer Science+Business Media New York 2013

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Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 42 (2013)
Issue (Month): 2 (August)
Pages: 151-174

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Handle: RePEc:kap:compec:v:42:y:2013:i:2:p:151-174
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  1. Gianfranco Piras & Paolo Postiglione & Patricio Aroca, 2012. "Specialization, R&D and productivity growth: evidence from EU regions," The Annals of Regional Science, Springer, vol. 49(1), pages 35-51, August.
  2. Maria Rita Sebastiani, 2003. "Markov random-field models for estimating local labour markets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(2), pages 201-211.
  3. Dimitris Fouskakis & David Draper, 2002. "Stochastic Optimization: a Review," International Statistical Review, International Statistical Institute, vol. 70(3), pages 315-349, December.
  4. Damien NEVEN & Claudine GOUYETTE, 1993. "Regional Convergence in the European Comunity," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 9311, Université de Lausanne, Faculté des HEC, DEEP.
  5. Arbia, Giuseppe & Benedetti, Roberto & Espa, Giuseppe, 1999. "Contextual classification in image analysis: an assessment of accuracy of ICM," Computational Statistics & Data Analysis, Elsevier, vol. 30(4), pages 443-455, June.
  6. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
  7. Sandy Dall'erba & Julie Le Gallo, 2003. "Regional Convergence And The Impact Of European Structural Funds Over 1989-1999: A Spatial Econometric Analysis," Urban/Regional 0310005, EconWPA, revised 12 Feb 2004.
  8. David Wheeler & Catherine Calder, 2007. "An assessment of coefficient accuracy in linear regression models with spatially varying coefficients," Journal of Geographical Systems, Springer, vol. 9(2), pages 145-166, June.
  9. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  10. Canova, Fabio, 2001. "Testing for convergence clubs in income per-capita : a predictive density approach," HWWA Discussion Papers 139, Hamburg Institute of International Economics (HWWA).
  11. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-36, July.
  12. Michele Battisti & Gianfranco Di Vaio, 2008. "A spatially filtered mixture of β-convergence regressions for EU regions, 1980–2002," Empirical Economics, Springer, vol. 34(1), pages 105-121, February.
  13. Quah, Danny T, 1997. " Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
  14. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
  15. J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar.
  16. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
  17. Goffe, William L & Ferrier, Gary D & Rogers, John, 1992. "Simulated Annealing: An Initial Application in Econometrics," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(2), pages 133-46, May.
  18. Bartkowska, Monika & Riedl, Aleksandra, 2012. "Regional convergence clubs in Europe: Identification and conditioning factors," Economic Modelling, Elsevier, vol. 29(1), pages 22-31.
  19. Postiglione, Paolo & Benedetti, Roberto & Lafratta, Giovanni, 2010. "A regression tree algorithm for the identification of convergence clubs," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2776-2785, November.
  20. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-85, December.
  21. Galor, Oded, 2007. "Multiple growth regimes - Insights from unified growth theory," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 470-475, September.
  22. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
  23. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, 07.
  24. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-69, July.
  25. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
  26. Cem Ertur & Wilfried Koch, 2005. "Growth, Technological Interdependence and Spatial Externalities - Theory and Evidence," ERSA conference papers ersa05p651, European Regional Science Association.
  27. Wu, Lihua & Wang, Yuyun, 1998. "An Introduction to Simulated Annealing Algorithms for the Computation of Economic Equilibrium," Computational Economics, Society for Computational Economics, vol. 12(2), pages 151-69, October.
  28. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  29. 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.
  30. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
  31. Julie Le Gallo & Sandy Dall'erba, 2006. "Evaluating the Temporal and Spatial Heterogeneity of the European Convergence Process, 1980-1999," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 269-288.
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