EconPapers    
Economics at your fingertips  
 

Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach

Fabio Canova

International Economic Review, 2004, vol. 45, issue 1, 49-77

Abstract: The article proposes a technique, based on the predictive density of the data, conditional on the parameters of the model, to jointly tests for groups of unknown size in a panel and to estimate the parameters of each group. The procedure is applied to the problem of identifying convergence clubs in scaled income per capita data. The steady-state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per capita of OECD countries has two poles of attraction and each group clearly identifiable economic characteristics. Copyright 2004 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (200)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Testing for Convergence Clubs in Income Per-Capita: A Predictive Density Approach (2001) Downloads
Working Paper: Testing for Convergence Clubs in Income per-capita: A Predictive Density Approach (1999) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ier:iecrev:v:45:y:2004:i:1:p:49-77

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598

Access Statistics for this article

International Economic Review is currently edited by Harold L. Cole

More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and ().

 
Page updated 2025-03-19
Handle: RePEc:ier:iecrev:v:45:y:2004:i:1:p:49-77