Gender-earnings differentials using quantile regressions

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 genderearnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantites of the earnings distribution and permits more targeted policy intervention.