Economic Applications of Quantile Regression (Paperback)

Bernd Fitzenberger

ISBN 10: 3790825026 / ISBN 13: 9783790825022

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2010

Beschreibung

Paperback. Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9783790825022

Bibliografische Details

• Titel: Economic Applications of Quantile Regression (Paperback)
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 3790825026
• ISBN-13: 9783790825022
• Einband: Paperback
• Auflage: 1. Auflage
• Zustand: new

Über diesen Titel

Inhaltsangabe

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression.