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Gender-Earnings Differentials Using Quantile Regressions

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Author Info
CHRIS SAKELLARIOU

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Abstract

I employ quantile regressions to analyze the size, components, and nature of the gender-earnings differentials over the entire conditional distribution of earnings, using data from Singapore. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.

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Publisher Info
Article provided by Transaction Publishers in its journal Journal of Labor Research.

Volume (Year): 25 (2004)
Issue (Month): 3 (July)
Pages: 458-468
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Handle: RePEc:tra:jlabre:v:25:y:2004:i:3:p:458-468

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Web page: http://transactionpub.metapress.com/link.asp?target=journal&id=110581

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  1. Anh Tram Le & Paul W. Miller & Barry R. Chiswick, 2006. "The Immigrant-Native Born Earnings Gap in the US: a Quantile Regression Analysis and International Comparison," Economics Discussion / Working Papers 06-04, The University of Western Australia, Department of Economics. [Downloadable!]
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This page was last updated on 2009-12-11.


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