Quantile Kernel Regression for Identifying Excellent Economists
AbstractQuantile 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.
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Bibliographic InfoPaper provided by Department of Economics, University of Sussex in its series Working Paper Series with number 6013.
Date of creation: Apr 2013
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quantile kernel regression; Hirsch number; economics;
Find related papers by JEL classification:
- A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-05-11 (All new papers)
- NEP-HPE-2013-05-11 (History & Philosophy of Economics)
- NEP-SOG-2013-05-11 (Sociology of Economics)
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