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 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.