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Income Polarization, Convergence Tools and Mixture Analysis

Author

Listed:
  • Michele Battisti

    (Department of Studies on Law, Politics and Society, University of Palermo)

  • Christopher F. Parmeter

    (Department of Economics, University of Miami)

Abstract

Modeling the cross-country distribution of per capita using mixture analysis provides a natural platform for the recovery or detection of clubs of countries. Unfortunately, these mixture methods, when based on a strictly univariate approach are limiting towards one's ability to learn about the underlying process of the emergence of the clubs. This paper takes a fresh look at the sources contributing to the emergence of clubs in the distribution of cross-country output using bivariate and multivariate mixture analysis.

Suggested Citation

  • Michele Battisti & Christopher F. Parmeter, 2011. "Income Polarization, Convergence Tools and Mixture Analysis," Working Papers 2011-17, University of Miami, Department of Economics.
    • Handle: RePEc:mia:wpaper:2011-17
    as

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    File URL: https://www.herbert.miami.edu/_assets/files/repec/wp2011-17.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Michele Battisti & Filippo Belloc & Massimo Del Gatto, 2015. "Unbundling Technology Adoption and tfp at the Firm Level: Do Intangibles Matter?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(2), pages 390-414, June.
    2. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
    3. Battisti, Michele & Parmeter, Christopher F., 2012. "GDP clustering: A reappraisal," Economics Letters, Elsevier, vol. 117(3), pages 837-840.
    4. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.

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    More about this item

    Keywords

    Convergence; Orientation; Mixture Densities;
    All these keywords.

    JEL classification:

    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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