Pitfalls In Estimating ß-Convergence By Means Of Panel Data: An Empirical Test
Carluccio Bianchi (),
Federica Calidoni () and
Mario Menegatti
Additional contact information
Carluccio Bianchi: Department of Economics and Quantitative Methods, University of Pavia
No 102, Quaderni di Dipartimento from University of Pavia, Department of Economics and Quantitative Methods
Abstract:
This paper aims to test the conjecture advanced in a recent work by Bianchi and Menegatti (2007) that usual !convergence panel regressions may produce biased evidence, due to their inability to distinguish between actual catching-up across countries and decreasing growth rates over time within countries. The test considers different sub-groups in a dataset of 72 countries for the period 1970-2000 and introduces both human capital and proxies for technological differences into the analysis. The results confirm the conjecture that traditional evidence about - convergence may be misleading; they also show that catching-up across countries is weaker than usually claimed and that this process occurred only in some sub-groups of countries.
Keywords: Catching-up; Convergence; Economic Growth; Panel Estimation Techniques. (search for similar items in EconPapers)
JEL-codes: C2 O11 O5 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2009-09
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://dem-web.unipv.it/web/docs/dipeco/quad/ps/RePEc/pav/wpaper/q102.pdf (application/pdf)
Related works:
Journal Article: Pitfalls in estimating β-convergence by means of panel data: an empirical test (2009) 
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:pav:wpaper:102
Access Statistics for this paper
More papers in Quaderni di Dipartimento from University of Pavia, Department of Economics and Quantitative Methods Contact information at EDIRC.
Bibliographic data for series maintained by Paolo Bonomolo ( this e-mail address is bad, please contact ).