A guide to theimplementation and interpretation of Quantile Regression models This bookexplores the theory and numerous applications of quantile regression, offeringempirical data analysis as well as the software tools to implement the methods.The main focus of this book is to provide the reader with a comprehensivedescription of the main issues concerning quantile regression; these includebasic modeling, geometrical interpretation, estimation and inference forquantile regression, as well as issues on validity of the model, diagnostictools. Each methodological aspect is explored and followed by applicationsusing real data. Quantile Regression: Presents a complete treatment of quantileregression methods, including, estimation, inference issues and application ofmethods. Delivers a balance between methodolgy and application Offers anoverview of the recent developments in the quantile regression framework andwhy to use quantile regression in a variety of areas such as economics, financeand computing. Features a supporting website (www.wiley.com/go/quantile—regression ) hosting datasets along with R, Stata andSAS software code. Researchers and PhD students in the field of statistics,economics, econometrics, social and environmental science and chemistry willbenefit from this book.