On modelling convergence clubs
AbstractA 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 7 (2000)
Issue (Month): 5 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEL20
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
- Manfred M. Fischer & James P. LeSage, 2013. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa13p39, European Regional Science Association.
- 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.
- 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.
- 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.
- Bloom, David E & Canning, David & Sevilla, Jaypee, 2003. " Geography and Poverty Traps," Journal of Economic Growth, Springer, vol. 8(4), pages 355-78, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.