Arbeitspapier
Conditional beta- and sigma-convergence in space: A maximum likelihood approach
Empirical work on regional growth under spatial spillovers uses two workhorse models: the spatial Solow model and Verdoorn's model. This paper contrasts these two views on regional growth processes and demonstrates that in a spatial setting the speed of convergence is heterogenous in both considered models, depending on the remoteness and the income gap of all regions. Furthermore, the paper introduces Wald tests for conditional spatial sigma-convergence based on a spatial maximum likelihood approach. Empirical estimates for 212 European regions covering the period 1980-2002 reveal a slow speed of convergence of about 0.7 percent per year under both models. However, pronounced heterogeneity in the convergence speed is evident. The Wald tests indicate significant conditional spatial sigma-convergence of about 2 percent per year under the spatial Solow model. Verdoorn's specification points to a smaller and insignificant variance reduction during the considered period.
- Language
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Englisch
- Bibliographic citation
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Series: Working Papers in Economics and Statistics ; No. 2007-17
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
spatial solow model
Verdoorn's model
spatial maximum likelihood estimates
European regions
Wirtschaftswachstum
Produktivität
Solow-Modell
Verdoorn's Law
Schätzung
Europa
- Handle
- Last update
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20.09.2024, 8:25 AM CEST
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Pfaffermayr, Michael
- University of Innsbruck, Department of Public Finance
Time of origin
- 2007