This paper uses mean and quantile regression analysis to investigate the gender pay gap for the wage employed in …

, the pecuniary analysis employs the recently developed technique of instrumental variable quantile regression, very helpful … fact, quantile regression offers coefficient estimations for any conditional quantile. The second contribution derives from …

-employed German dependant employment and using quantile regression decompositions we find that the earnings differential over the …

addition, using quantile regression, this study finds evidence of considerable differences in their impact on auction prices …://www.uow.edu.au/commerce/econ/wpapers.html The Determinants of Price in Online Auctions: More Evidence from Quantile Regression Chia-Hung Sun ∗ and Ming … of Price in Online Auctions: More Evidence from Quantile Regression Chia-Hung Sun ∗ and Ming-Fei Hsu School …

, the pecuniary analysis employs the technique of instrumental variable quantile regression, very helpful method when one is … interested in the lowest or highest extremes of the distribution function of the dependent variable. In fact, quantile regression …

employing quantile regression techniques, we find two important results. First, the gaps in maths, reading and science test …

in Croatia. It utilises microdata from the Labour Force Survey in 1998 and 2005, and applies both OLS and quantile … regression techniques to assess the gender wage gap across the wage distribution. The gender wage gap is found to be relatively …

and quantile regression techniques both in manufacturing and services industries. In quantile regression, results suggest …