Dynamic Spatial Modelling of Regional Convergence Processes
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.
|Date of creation:||2004|
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Web page: http://www.econstor.eu/handle/10419/20
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- 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.
- Jørgen Lauridsen, 2006. "Spatial autoregressively distributed lag models: equivalent forms, estimation, and an illustrative commuting model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(2), pages 297-311, June.
- Funke, Michael & Strulik, Holger, 1999. "Regional growth in West Germany: convergence or divergence?," Economic Modelling, Elsevier, vol. 16(4), pages 489-502, December.
- N. Gregory Mankiw & David Romer & David N. Weil, 1992.
"A Contribution to the Empirics of Economic Growth,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 107(2), pages 407-437.
- Evans, Paul, 1998.
"Using Panel Data to Evaluate Growth Theories,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 295-306, May.
- Jørgen Lauridsen & Reinhold Kosfeld, 2006.
"A test strategy for spurious spatial regression, spatial nonstationarity, and spatial cointegration,"
Papers in Regional Science,
Wiley Blackwell, vol. 85(3), pages 363-377, 08.
- 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.
- Niebuhr, Annekatrin, 2000. "Convergence and the effects of spatial interaction," HWWA Discussion Papers 110, Hamburg Institute of International Economics (HWWA).
- Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
- Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
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