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Space-time analysis of GDP disparities among European regions: A Markov chains approach

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  • LE GALLO, Julie

    () (LATEC - CNRS - Université de Bourgogne)

Abstract

The purpose of this paper is to study the evolution of the disparities between 138 European regions over the 1980-1995 period. We characterize the regional per capita GDP cross-sectional distribution by means of nonparametric estimations of density functions and we model the growth process as a first-order stationary Markov chain. Spatial effects are then introduced within the Markov chain framework using regional conditioning and spatial Markov chains. The results of the analysis indicate the persistence of regional disparities, a progressive bias toward a poverty trap and the importance of geography to explain growth and convergence processes.

Suggested Citation

  • LE GALLO, Julie, 2001. "Space-time analysis of GDP disparities among European regions: A Markov chains approach," LATEC - Document de travail - Economie (1991-2003) 2001-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  • Handle: RePEc:lat:lateco:2001-06
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    References listed on IDEAS

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    More about this item

    Keywords

    convergence; regional disparities; spatial autocorrelation; spatial Markov chains;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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