Gender-Earnings Differentials Using Quantile Regressions
AbstractI 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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Bibliographic InfoArticle provided by Transaction Publishers in its journal Journal of Labor Research.
Volume (Year): 25 (2004)
Issue (Month): 3 (July)
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