Club convergence in European regions
AbstractThis 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.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Economics Letters.
Volume (Year): 13 (2006)
Issue (Month): 9 ()
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Web page: http://www.tandf.co.uk/journals/routledge/13504851.html
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- 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.
- Le Pen, Yannick, 2011. "A pair-wise approach to output convergence between European regions," Economic Modelling, Elsevier, vol. 28(3), pages 955-964, May.
- Marcella D'Uva & Rita De Siano, 2007. "Human capital and "club convergence" in Italian regions," Economics Bulletin, AccessEcon, vol. 18(1), pages 1-7.
- De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
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