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.

Sprache
Englisch

Erschienen in
Series: Working Papers in Economics and Statistics ; No. 2007-17

Klassifikation
Wirtschaft
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
Thema
conditional spatial beta- and sigma-convergence
spatial solow model
Verdoorn's model
spatial maximum likelihood estimates
European regions
Wirtschaftswachstum
Produktivität
Solow-Modell
Verdoorn's Law
Schätzung
Europa

Ereignis
Geistige Schöpfung
(wer)
Pfaffermayr, Michael
Ereignis
Veröffentlichung
(wer)
University of Innsbruck, Department of Public Finance
(wo)
Innsbruck
(wann)
2007

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Pfaffermayr, Michael
  • University of Innsbruck, Department of Public Finance

Entstanden

  • 2007

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