Gender-Earnings Differentials Using Quantile Regressions

Christos Sakellariou

Journal of Labor Research, 2004, vol. 25, issue 3, 458-468

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.

Date: 2004
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