Quantile regression as introduced by Koenker and Bassett seeks to extend ideas of
quantiles to the estimation of conditional quantile functions--models in which quantiles of the …

Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an
extension of classical least squares estimation of conditional mean models to the estimation …

Quantile regression has emerged as an essential statistical tool of contemporary empirical
economics and biostatistics. Complementing classical least squares regression methods …

A guide to the implementation and interpretation of Quantile Regression models This book
explores the theory and numerous applications of quantile regression, offering empirical …

Quantile regression is gradually emerging as a unified statistical methodology for estimating
models of conditional quantile functions. By complementing the exclusive focus of classical …

In 1978, Roger Koenker and Gilbert Bassett, Jr. introduced a new econometric estimation
method and entitled it quantile regression. Since then, many subsequent authors have …

This report provides a short and generally accessible overview of the technique of quantile
regression, with focus on introducing the method and discussing some major applications …

The quantile regression model introduced by Koenker and Bassett (1978b) and its extension
of censored quantile regression (Powell (1986)), extend the notion of ordinary quantiles in …

This paper provides a guideline for the practical use of the semi-parametric technique of
quantile regression, concentrating on cross-section applications. It summarizes the most …

The effects of policy variables on distributional outcomes beyond simple averages are of
interest in many research areas and in particular in labor economics. For instance, the …