Empirical Implications of Statistical Discrimination on the Returns to Measures of Skill

This article investigates how lack of information may bias the investigator's assessment of the presence of statistical discrimination. We show that the nature of the bias is such that statistical discrimination may be rejected in a Mincerian regression even when the data is generated from an equilibrium with statistical discrimination. This may occur even when the investigator has a more informative signal of productivity the employers have.

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Year of publication:	2003
Authors:	MORO, Andrea ; NORMAN, Peter
Published in:	Annales d'Economie et de Statistique. - École Nationale de la Statistique et de l'Admnistration Économique (ENSAE). - 2003, 71-72, p. 399-417
Publisher:	École Nationale de la Statistique et de l'Admnistration Économique (ENSAE)

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Extent:	application/pdf
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005065935