Measuring catch-up growth in malnourished populations

Richard Tol

Working Paper Series from Department of Economics, University of Sussex Business School

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.

Keywords: quantile kernel regression; Hirsch number; economics (search for similar items in EconPapers)
JEL-codes: A11 (search for similar items in EconPapers)
Date: 2013-04
New Economics Papers: this item is included in nep-hpe and nep-sog
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Persistent link: https://EconPapers.repec.org/RePEc:sus:susewp:6013

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