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Dynamic Spatial Modelling of Regional Convergence Processes

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  • Lauridsen, Jørgen
  • Kosfeld, Reinhold

Abstract

Econometric analysis of convergence processes across countries or regions usually refers to a transition period between an arbitrary chosen starting year and a fictitious steady state. Panel unit root tests and panel cointegration techniques have proved to belong to powerful econometric tools if the conditions are met. When referring to economically defined regions, though, it is rather an exception than the rule that coherent time series are available. For this case we introduce a dynamic spatial modelling approach which is suitable to trace regional adjustment processes in space instead of time. It is shown how the spatial error-correction mechanism (SEC model) can be estimated depending on the spatial stationarity properties of the variables under investigation. The dynamic spatial modelling approach presented in this paper is applied to the issue of conditional income and productivity convergence across labour market regions in unified Germany. --

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Bibliographic Info

Paper provided by Hamburg Institute of International Economics (HWWA) in its series HWWA Discussion Papers with number 261.

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Date of creation: 2004
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Handle: RePEc:zbw:hwwadp:26211

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Keywords: Regional convergence; dynamic spatial models; spatial unit roots; spatial error-correction;

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References

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  1. Funke, Michael & Strulik, Holger, 1999. "Regional growth in West Germany: convergence or divergence?," Economic Modelling, Elsevier, vol. 16(4), pages 489-502, December.
  2. Jørgen Lauridsen, 2006. "Spatial autoregressively distributed lag models: equivalent forms, estimation, and an illustrative commuting model," The Annals of Regional Science, Springer, vol. 40(2), pages 297-311, June.
  3. Evans, P, 1996. "Using Panel Data to Evaluate Growth Theories," ISER Discussion Paper 0397, Institute of Social and Economic Research, Osaka University.
  4. Niebuhr, Annekatrin, 2000. "Convergence and the effects of spatial interaction," HWWA Discussion Papers 110, Hamburg Institute of International Economics (HWWA).
  5. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  6. J. Holmes, Mark, 2002. "Convergence in International Output: Evidence from Panel Data Unit Root Tests," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 17, pages 826-838.
  7. Jorgen Lauridsen & Reinhold Kosfeld, 2003. "A Test Strategy for Spurious Spatial Regression, Spatial Nonstationarity, and Spatial Cointegration," ERSA conference papers ersa03p42, European Regional Science Association.
  8. Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
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Citations

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Cited by:
  1. Falko Juessen, 2005. "A distribution dynamics approach to regional income convergence in reunified Germany," ERSA conference papers ersa05p411, European Regional Science Association.
  2. Benos, Nikos & Karagiannis, Stelios, 2013. "Do Cross-Section Dependence and Parameter Heterogeneity Matter? Evidence on Human Capital and Productivity in Greece," MPRA Paper 53326, University Library of Munich, Germany.
  3. Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, EconWPA.
  4. Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias Türck, 2005. "Intra- und internatonale Spillover-Effekte zwischen den EU-Regionen," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 225(6), pages 600-621, November.
  5. Jørgen Lauridsen & Reinhold Kosfeld, 2007. "Spatial cointegration and heteroscedasticity," Journal of Geographical Systems, Springer, vol. 9(3), pages 253-265, September.
  6. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Space and Growth," Tinbergen Institute Discussion Papers 04-129/3, Tinbergen Institute.
  7. Trívez Bielsa, F.J., 2004. "Economía espacial: Una disciplina en auge," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-18, Diciembre.
  8. Maria ABREU & Henri L.F. DE GROOT & Raymond J.G.M. FLORAX, 2005. "Space And Growth: A Survey Of Empirical Evidence And Methods," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 13-44.
  9. Thomas Doring & Jan Schnellenbach, 2006. "What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 375-395.
  10. Lauridsen, J. & Kosfeld, R., 2004. "A wald Test for Spatial Nonstationarity," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-12, Diciembre.
  11. Andrea Vaona, 2010. "Spatial autocorrelation and the sensitivity of RESET: a simulation study," Journal of Geographical Systems, Springer, vol. 12(1), pages 89-103, March.

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