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Identifying excellent researchers: A new approach

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  • Tol, Richard S.J.

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 index.

Suggested Citation

  • Tol, Richard S.J., 2013. "Identifying excellent researchers: A new approach," Journal of Informetrics, Elsevier, vol. 7(4), pages 803-810.
  • Handle: RePEc:eee:infome:v:7:y:2013:i:4:p:803-810
    DOI: 10.1016/j.joi.2013.06.003
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    References listed on IDEAS

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    1. repec:eee:infome:v:11:y:2017:i:2:p:564-582 is not listed on IDEAS

    More about this item

    Keywords

    Quantile kernel regression; Hirsch index; Economics;

    JEL classification:

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

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