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Spatial Convergence of Regions Revisited: A Spatial Maximum Likelihood Systems Approach

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Author Info
Michael Paffermayr ()
Abstract

This paper suggests that one should account for the endogeneity of important explanatory variables and the persistence of technology shocks when analyzing spatial convergence among regions.Specifically, it is argued that a systems approach is called for that includes the average growth rate and the initial income level as the endogenous variables. For 212 European regions the estimation results reveal a substantial correlation between the disturbances of the equation explaining initial income per capita and that of its subsequent average growth rate. Moreover, the estimated speed of convergence is found substantially higher in a systems framework. This holds true for both spatial conditional and unconditional convergence.

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Paper provided by Faculty of Economics and Statistics, University of Innsbruck in its series Working Papers with number 2009-07.

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Length: 37
Date of creation: Mar 2009
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Handle: RePEc:inn:wpaper:2009-07

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Related research
Keywords: Spatial beta-convergence; Spatial Solow model; Spatial systems maximum likelihood estimation; Europeanregions;

Find related papers by JEL classification:
R11 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Analysis of Growth, Development, and Changes
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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  1. Attfield, C. L. F. & Cannon, Edmund S. & Demery, D. & Duck, Nigel W., 2000. "Economic growth and geographic proximity," Economics Letters, Elsevier, vol. 68(1), pages 109-112, July. [Downloadable!] (restricted)
  2. Robert J. Barro & N. Gregory Mankiw & Xavier Sala-i-Martin, 1995. "Capital Mobility in Neoclassical Models of Growth," NBER Working Papers 4206, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. Cohen, Daniel & Sachs, Jeffrey, 1986. "Growth and external debt under risk of debt repudiation," European Economic Review, Elsevier, vol. 30(3), pages 529-560, June. [Downloadable!] (restricted)
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  4. Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Blackwell Publishing, vol. 44(1), pages 43-73. [Downloadable!] (restricted)
  5. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May. [Downloadable!] (restricted)
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  6. Kieran McQuinn & Karl Whelan, 2007. "Conditional convergence and the dynamics of the capital-output ratio," Journal of Economic Growth, Springer, vol. 12(2), pages 159-184, June. [Downloadable!] (restricted)
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