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On modelling convergence clubs

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  • P. Feve
  • Y. Le Pen

Abstract

A switching regression approach with imperfect sample separation information is used to determine convergence clubs. Regime classification allows one to determine which countries belong to the related convergence clubs. Initial per capita GDP does not provide a perfect sample separation information, but the regimes classification obtained from an endogenous switching model provides unusual results.

Suggested Citation

  • P. Feve & Y. Le Pen, 2000. "On modelling convergence clubs," Applied Economics Letters, Taylor & Francis Journals, vol. 7(5), pages 311-314.
  • Handle: RePEc:taf:apeclt:v:7:y:2000:i:5:p:311-314 DOI: 10.1080/135048500351456
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    References listed on IDEAS

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    1. Ian Domowitz & R. Glenn Hubbard & Bruce C. Petersen, 1986. "Business Cycles and the Relationship Between Concentration and Price-Cost Margins," RAND Journal of Economics, The RAND Corporation, pages 1-17.
    2. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-947, October.
    3. Merton, Robert C, 1987. " A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    4. Roeger, Werner, 1995. "Can Imperfect Competition Explain the Difference between Primal and Dual Productivity Measures? Estimates for U.S. Manufacturing," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 316-330, April.
    5. Schmalensee, Richard, 1989. "Inter-industry studies of structure and performance," Handbook of Industrial Organization,in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 16, pages 951-1009 Elsevier.
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    Cited by:

    1. Manfred M. Fischer & James P. LeSage, 2015. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 677-702, November.
    2. Bloom, David E & Canning, David & Sevilla, Jaypee, 2003. "Geography and Poverty Traps," Journal of Economic Growth, Springer, vol. 8(4), pages 355-378, December.
    3. Postiglione, Paolo & Benedetti, Roberto & Lafratta, Giovanni, 2010. "A regression tree algorithm for the identification of convergence clubs," Computational Statistics & Data Analysis, Elsevier, pages 2776-2785.
    4. Robert Kunst, 2014. "Report of the Editors," Empirical Economics, Springer, pages 393-395.
    5. Breandán Ã'hUallacháin, 2008. "Regional growth transition clubs in the United States," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 33-53, March.
    6. Don Webber & Paul White, 2003. "Regional Factor Price Convergence Across Four Major European Countries," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 773-782.
    7. repec:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0415-1 is not listed on IDEAS
    8. David E. Bloom & David Canning & Jaypee Sevilla, 2002. "The Wealth of Nations: Fundamental Forces Versus Poverty Traps," NBER Working Papers 8714, National Bureau of Economic Research, Inc.

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