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Club convergence in European regions

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  • Rita De Siano
  • Marcella D'Uva

Abstract

This study investigates the 'club convergence' hypothesis applying the stochastic notion of convergence to groups of European regions. In order to avoid the group selection bias problem, the innovative regression tree technique was applied to select endogenously the most important variables in achieving the best identification of groups on the base of per capita income and productive specialization. Tests on stochastic convergence in each group evidences a strong convergence among the wealthiest regions of the European Union and a trend of weak convergence among the remaining groups, confirming Baumol's hypothesis of convergence.

Suggested Citation

  • Rita De Siano & Marcella D'Uva, 2006. "Club convergence in European regions," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 569-574.
  • Handle: RePEc:taf:apeclt:v:13:y:2006:i:9:p:569-574
    DOI: 10.1080/13504850600733473
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    References listed on IDEAS

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    1. Antonio Garofalo & R. Plasman & Concetto Paolo Vinci, 2000. "Reducing Working Time In An Efficiency Wage Economy With A Dual Labour Market," Working Papers 7_2000, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    2. Ben-David, Dan, 1994. "Convergence Clubs and Diverging Economies," CEPR Discussion Papers 922, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Le Pen, Yannick, 2011. "A pair-wise approach to output convergence between European regions," Economic Modelling, Elsevier, vol. 28(3), pages 955-964, May.
    2. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    3. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    4. Manfred M. Fischer & James P. LeSage, 2012. "A Bayesian approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa12p217, European Regional Science Association.
    5. Frey, Daniel & Frey, Miriam & Wieslhuber, Carmen, 2013. "Do natural resources define convergence clubs? Empirical evidence from the Kazakh regions," Economic Systems, Elsevier, vol. 37(3), pages 404-414.
    6. Marcella D'Uva & Rita De Siano, 2007. "Human capital and "club convergence" in Italian regions," Economics Bulletin, AccessEcon, vol. 18(1), pages 1-7.
    7. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.

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