Regional Convergence in Germany. A Geographically Weighted Regression Approach
AbstractRegional 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 so far yet. It allows to estimate 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 with a different speeds towards their steady states. The half-live times 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.
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Bibliographic InfoPaper provided by European Regional Science Association in its series ERSA conference papers with number ersa06p461.
Date of creation: Aug 2006
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- Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias T�rck, 2007. "Regional Convergence in Germany: a Geographically Weighted Regression Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(1), pages 45-64.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
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