Identifying excellent researchers: A new approach

Richard Tol

Journal of Informetrics, 2013, vol. 7, issue 4, 803-810

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.

Keywords: Quantile kernel regression; Hirsch index; Economics (search for similar items in EconPapers)
JEL-codes: A11 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:4:p:803-810

DOI: 10.1016/j.joi.2013.06.003

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