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Twin - Peaks in E.U. Regional Productivity Dynamics: a nonparametric analysis

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  • Georgios Fotopoulos

Abstract

Working within the 'distributional approach', this research offers evidence, based on empirical density estimates and modality tests, of past polarization in regional labour productivity in EU-15. Most importantly, it provides evidence on the related ergodic density which suggests that this polarization may persist in the future. This past and probably future polarization is primarily related to the service sector of the regional economies and not to manufacturing industries sector.

Suggested Citation

  • Georgios Fotopoulos, 2005. "Twin - Peaks in E.U. Regional Productivity Dynamics: a nonparametric analysis," Papers on Entrepreneurship, Growth and Public Policy 2005-28, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
  • Handle: RePEc:esi:egpdis:2005-28
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    File URL: ftp://papers.econ.mpg.de/egp/discussionpapers/2005-28.pdf
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    References listed on IDEAS

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    Cited by:

    1. Roberto Ezcurra & Belen Iraizoz & Pedro Pascual, 2009. "Total Factor Productivity, Efficiency, and Technological Change in the European Regions: A Nonparametric Approach," Environment and Planning A, , vol. 41(5), pages 1152-1170, May.
    2. Adolfo Maza & José Villaverde & María Hierro, 2009. "Regional Productivity Distribution in the European Union: Which are the Influencing Factors?," European Planning Studies, Taylor & Francis Journals, vol. 17(1), pages 149-159, January.
    3. Werner Hölzl, 2006. "Cohesion and Excellence. Two ways to a better Europe?," WIFO Studies, WIFO, number 28810.

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    More about this item

    Keywords

    regional labour productivity; EU; distributional analysis; nonparametric methods; stochastic processes;
    All these keywords.

    JEL classification:

    • D39 - Microeconomics - - Distribution - - - Other
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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