In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who …

This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model … estimator has an oracle property and is easily extended to a generalized additive quantile regression model with a link function …

quantile regression methods to analyse the distribution of wages across sectors. We show that the public-private (hourly) wage …

We present the asymptotic properties of double-stage quantile regression estimators with random regressors, where the …

successful in explaining the growth empirics of the ¡°average¡± country. We next estimate the model using quantile regression …. The results of quantile regression are at odds with the OLS results. We find evidence of partial parameter heterogeneity … from the quantile regression do not fully confirm this prediction. We find that convergence is not a generalized phenomenon …

/bene¯t evaluation to play a role. Based on survey data from Taiwan, we investigate the relationship with the quantile regression …

-parametric nature of quantile regression to link the conditional returns to worker characteristics, obtained from the quantile …

In this paper, we use quantile regression decomposition methods to analyzethe gender gap between men and women who work … methodolog-ical contributions. First, we prove that the Machado-Mata quantile regres-sion decomposition procedure yields …