We estimate the returns to education for women and the racial wage differential among women over the wage distribution in Brazil by using quantile regression with semiparametric correction for sample selection. Our estimates show that the returns to education are high and that they are not...

In this paper uniform confidence bands are constructed for nonparametric quantile estimates of regression functions. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf) for residuals. It is known that the approximation error...

In this paper we develop procedures for performing inference in regression models about how potential policy interventions affect the entire marginal distribution of an outcome of interest. These policy interventions consist of either changes in the distribution of covariates related to the...

In this paper uniform confidence bands are constructed for nonparametric quantile estimates of regression functions. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf) for residuals. It is known that the approximation error...

In this paper bootstrap confidence bands are constructed for nonparametric quantile estimates of regression functions, where resampling is done from a suitably estimated empirical distribution function (edf) for residuals. It is known that the approximation error for the confidence band by the...

In this paper we develop procedures for performing inference in regression models about how potential policy interventions affect the entire marginal distribution of an outcome of interest. These policy interventions consist of either changes in the distribution of covariates related to the...

We estimate the returns to education for women and the racial wage differential among women over the wage distribution in Brazil by using quantile regression with semiparametric correction for sample selection. Our estimates show that the returns to education are high and that they are not...

This paper applies semiparametric regression models to shed light on the relationship between body weight and labor market outcomes in Germany. We find conclusive evidence that these relationships are poorly described by linear or quadratic OLS specifications, which have been the main approaches...

This paper applies semiparametric regression models to shed light on the relation-ship between body weight and labor market outcomes in Germany. We find conclusive evidence that these relationships are poorly described by linear or quadratic OLS specifications, which have been the main...

This paper aims to analyze the hourly gender wage gap between men and women in Mexico for the period 2005-2020. To this end, a number of variables is selected to reflect workers' human capital, household circumstances and workplace characteristics; then, a novel non-parametric method decomposes...