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Measuring catch-up growth in malnourished populations

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  • Richard S.J. Tol

    (Department of Economics, University of Sussex
    Institute for Environmental Studies, Vrije Universiteit, Amsterdam, The Netherlands
    Department of Spatial Economics, Vrije Universiteit, Amsterdam, The Netherlands)

Abstract

Quantile kernel regression is a flexible way to estimate the percentile of a scholar’s quality stratified by a measurable characteristic, without imposing inappropriate assumption about functional form or population distribution. Quantile kernel regression is here applied to identifying the one-in-a-hundred economist per age cohort according to the Hirsch number.

Suggested Citation

  • Richard S.J. Tol, 2013. "Measuring catch-up growth in malnourished populations," Working Paper Series 6013, Department of Economics, University of Sussex Business School.
  • Handle: RePEc:sus:susewp:6013
    as

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    File URL: http://www.sussex.ac.uk/economics/documents/wps-60-2013.pdf
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    References listed on IDEAS

    as
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    6. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
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    8. Beirlant, Jan & Glänzel, Wolfgang & Carbonez, An & Leemans, Herlinde, 2007. "Scoring research output using statistical quantile plotting," Journal of Informetrics, Elsevier, vol. 1(3), pages 185-192.
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    1. > Economics Profession > Ranking in Economics > Ranking Methodology

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    More about this item

    Keywords

    quantile kernel regression; Hirsch number; economics;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists

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