Identifying excellent researchers: A new approach

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.

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Year of publication:	2013
Authors:	Tol, Richard S.J.
Published in:	Journal of Informetrics. - Elsevier, ISSN 1751-1577. - Vol. 7.2013, 4, p. 803-810
Publisher:	Elsevier
Subject:	Quantile kernel regression \| Hirsch index \| Economics

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Type of publication:	Article
Classification:	A11 - Role of Economics; Role of Economists; Market for Economists
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010795206