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Spatial Filtering, Model Uncertainty and the Speed of Income Convergence in Europe

  • Jesús Crespo Cuaresma

    ()

    (Vienna University of Economics and Business, Institute for Fiscal and Monetary Policy)

  • Martin Feldkircher

    ()

    (Oesterreichische Nationalbank, Foreign Research Division)

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial dependence among observations by explicitly taking care of uncertainty stemming from the choice of a particular spatial structure. Our method is applied to estimate the conditional speed of income convergence across 255 NUTS-2 European regions for the period from 1995 to 2005. We show that the choice of a spatial weight matrix - and in particular the choice of a class thereof - can have an important effect on the estimates of the parameters attached to the model covariates. We also show that estimates of the speed of income convergence across European regions depend strongly on the form of the spatial patterns which are assumed to underlie the dataset. When we take into account this dimension of model uncertainty, the posterior distribution of the speed of convergence parameter has a large probability mass around a rate of convergence of 1%, approximately half of the value which is usually reported in the literature.

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File URL: https://www.oenb.at/dms/oenb/Publikationen/Volkswirtschaft/Working-Papers/2010/Working-Paper-160/fullversion/wp160_tcm16-180631.pdf
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Paper provided by Oesterreichische Nationalbank (Austrian Central Bank) in its series Working Papers with number 160.

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Length: 37
Date of creation: 11 Jan 2010
Date of revision:
Handle: RePEc:onb:oenbwp:160
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  9. Olivier Parent & James P. Lesage, 2007. "Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers," University of Cincinnati, Economics Working Papers Series 2007-03, University of Cincinnati, Department of Economics.
  10. Xavier Sala-i-Martin, 1994. "Regional cohesion: Evidence and theories of regional growth and convergence," Economics Working Papers 104, Department of Economics and Business, Universitat Pompeu Fabra.
  11. Jesus Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2008. "The Determinants of Economic Growth in European Regions," Working Papers 2008-26, Faculty of Economics and Statistics, University of Innsbruck.
  12. Carmen Fernandez & Eduardo Ley & Mark Steel, 1999. "Model uncertainty in cross-country growth regressions," Econometrics 9903003, EconWPA, revised 06 Oct 2001.
  13. de la Grandville,Olivier, 2009. "Economic Growth," Cambridge Books, Cambridge University Press, number 9780521725200.
  14. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
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  17. Manfred Fischer & Claudia Stirböck, 2006. "Pan-European regional income growth and club-convergence," The Annals of Regional Science, Springer, vol. 40(4), pages 693-721, December.
  18. J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar.
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  20. Michele Boldrin & Fabio Canova, 2001. "Inequality and convergence in Europe's regions: reconsidering European regional policies," Economic Policy, CEPR;CES;MSH, vol. 16(32), pages 205-253, 04.
  21. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.
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  23. Olivier Parent & James P. Lesage, 2007. "Bayesian Model Averaging for Spatial Econometric Models ," University of Cincinnati, Economics Working Papers Series 2007-02, University of Cincinnati, Department of Economics.
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