Spatial Convergence of Regions Revisited: A Spatial Maximum Likelihood Systems Approach

Michael Paffermayr ()

Working Papers from Faculty of Economics and Statistics, University of Innsbruck

Abstract: This paper suggests that one should account for the endogeneity of important explanatory variables and the persistence of technology shocks when analyzing spatial convergence among regions.Specifically, it is argued that a systems approach is called for that includes the average growth rate and the initial income level as the endogenous variables. For 212 European regions the estimation results reveal a substantial correlation between the disturbances of the equation explaining initial income per capita and that of its subsequent average growth rate. Moreover, the estimated speed of convergence is found substantially higher in a systems framework. This holds true for both spatial conditional and unconditional convergence.

Keywords: Spatial beta-convergence; Spatial Solow model; Spatial systems maximum likelihood estimation; Europeanregions (search for similar items in EconPapers)
JEL-codes: R11 C31 O47 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
Date: 2009-03
View list of references

Downloads: (external link)
http://www.uibk.ac.at/fakultaeten/volkswirtschaft_ ... n/wpaper/2009-07.pdf (application/pdf)

Related works:
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: http://EconPapers.repec.org/RePEc:inn:wpaper:2009-07

Access Statistics for this paper

More papers in Working Papers from Faculty of Economics and Statistics, University of Innsbruck
Contact information at EDIRC.
Series data maintained by Matthias Sutter ().