Testing for Convergence Clubs in Income per-capita: A Predictive Density Approach
Fabio Canova ()
No 2201, CEPR Discussion Papers from C.E.P.R. Discussion Papers
The paper proposes a technique to test jointly for groupings of unknown size in the cross-sectional dimension of a panel and estimates the parameters of each group, applying it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per-cpaita of OECD countries has two poles of attraction and each group has clearly identifiable economic characteristics.
Keywords: Heterogeneities; Income Inequality; Panel Data; Predictive Density (search for similar items in EconPapers)
JEL-codes: C11 D90 O47 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27) Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at firstname.lastname@example.org
Journal Article: Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach (2004)
Working Paper: Testing for Convergence Clubs in Income Per-Capita: A Predictive Density Approach (2001)
Working Paper: Testing for convergence clubs in income per-capita: A predictive density approach (2001)
Working Paper: Testing for convergence clubs in income per-capita: A predictive density approach (1999)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:2201
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... ers/dp.php?dpno=2201
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().