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The Millennium Peak in Club Convergence: A New Look at Distributional Changes in The Wealth of Nations

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  • Melanie Krause

Abstract

The convergence debate of whether poorer countries are catching up with richer ones has recently focused on the concept of club convergence, hence convergence within groups of countries. Formally detecting club convergence in the distribution of countries' income per capita over time has, however, proved difficult. I suggest a nonparametric measure that captures intradistributional changes in one number: When two clusters are involved, changes in Silverman s (1981) critical bandwidth for unimodality reflect modes becoming more or less pronounced, which, respectively, is evidence for club convergence or de-clubbing. Significance of the change can be determined in a bootstrap procedure, while working with standardized densities removes the influence of time-varying variance. This paper seems to be the first one not only to take the critical bandwidth to a dynamic context but also to relate it to the club convergence literature. Furthermore, a conceptual comparison shows parallels and differences to polarization measures. In the empirical section with the distribution of income per capita of 123 countries, my method provides evidence of club convergence in the 1980s and 1990s, peaking at the turn of the millennium and followed by a de-clubbing movement in the 2000s.
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Suggested Citation

  • Melanie Krause, 2017. "The Millennium Peak in Club Convergence: A New Look at Distributional Changes in The Wealth of Nations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 621-642, April.
  • Handle: RePEc:wly:japmet:v:32:y:2017:i:3:p:621-642
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    Cited by:

    1. Seonyoung Park & Donggyun Shin, 2023. "Recent changes in the nature of the distribution dynamics of the US county incomes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1048-1067, November.
    2. Paul Johnson & Chris Papageorgiou, 2020. "What Remains of Cross-Country Convergence?," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 129-175, March.
    3. Melanie Krause & Stefan Szymanski, 2019. "Convergence versus the middle-income trap: the case of global soccer," Applied Economics, Taylor & Francis Journals, vol. 51(27), pages 2980-2999, June.
    4. Maseland, Robbert, 2021. "Contingent determinants," Journal of Development Economics, Elsevier, vol. 151(C).
    5. Park, Seonyoung & Shin, Donggyun, 2020. "Recent Changes in the Nature of Distribution Dynamics of US County Incomes," Working Paper Series 8075, Victoria University of Wellington, School of Economics and Finance.
    6. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D30 - Microeconomics - - Distribution - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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