than can be obtained with ordinary mean regression. The evidence from quantile regression shows that there is a negative …In this paper the wage differential between the public and private sector is estimated by means of the quantile … regression method, which will provide a more complex picture of the distribution of the public-private sector wage differential …

technique for estimating quantile regression for count data is used for the analysis. …

distribution of the consumption is at least as important as the mean. Censored as well as ordinary quantile regression techniques …

prove the weak consistency of the coefficient estimators for the Type I censored quantile regression model under different … optimization process of censored quantile regression. In dieser Arbeit wird die schwache Konsistenz der Koeffizientenschätzer für …

quantile regression technique to calculate returns to lower secondary, upper secondary and tertiary education at different …

wages by means of the quantile regression technique and apply this model to study the male wage distribution and its …

In this study standard Mincer earnings equations are estimated using both ordinary least squares (OLS) and quantile … regression in order to give a comprehensive picture of the returns to education in Germany and Hungary for the year 2000. To make … earnings equations are estimated using both ordinary least squares (OLS) and quantile regression in order to give a …

earnings mobility is high. Using quantile regression, mobility is found to be lower at the lower end of the earnings …

Lee (2003) develops a n-consistent estimator of the parametric component of a partially linear quantile regression …