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On modelling convergence clubs

Author

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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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    Citations

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    Cited by:

    1. Bloom, David E & Canning, David & Sevilla, Jaypee, 2003. "Geography and Poverty Traps," Journal of Economic Growth, Springer, vol. 8(4), pages 355-378, December.
    2. 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.
    3. Breandán Ó'hUallacháin, 2008. "Regional growth transition clubs in the United States," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 33-53, March.
    4. 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.
    5. Fiaschi, Davide & Gianmoena, Lisa & Parenti, Angela, 2018. "Spatial club dynamics in European regions," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 115-130.
    6. M. Simona Andreano & Roberto Benedetti & Paolo Postiglione, 2017. "Spatial regimes in regional European growth: an iterated spatially weighted regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2665-2684, November.
    7. 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.
    8. 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.
    9. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    10. Rita De Siano & Marcella D'Uva, 2006. "Club convergence in European regions," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 569-574.

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