Regional Convergence in Germany: a Geographically Weighted Regression Approach
Hans-Friedrich Eckey,
Reinhold Kosfeld () and
Matthias Türck
Spatial Economic Analysis, 2007, vol. 2, issue 1, 45-64
Abstract:
Abstract Regional convergence of German labour markets represents a politically important question. Different studies have examined convergence processes in Germany. We derive equations to estimate the speed of convergence on the basis of an extended Solow model. The technique of geographically weighted regression permits a detailed analysis of convergence processes, which has not been conducted for Germany as yet. It allows the estimation of a separate speed of convergence for every region resulting from the local coefficients of the regression equations. The application of this technique to German labour market regions shows regions moving at different speeds towards their steady states. The half-life periods in the model of conditional convergence disperse less than the same coefficients in the absolute convergence model. Moreover, the speed of convergence is substantially slower in the manufacturing sector than in the service sector.
Keywords: Regional convergence; spatial econometrics; geographically weighted regression; C21; R11; R58 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)
Downloads: (external link)
http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770701251905 (text/html)
Access to full text is restricted to subscribers.
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: https://EconPapers.repec.org/RePEc:taf:specan:v:2:y:2007:i:1:p:45-64
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20
DOI: 10.1080/17421770701251905
Access Statistics for this article
Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori
More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().