Quantile Regression for Spatial Data
SpringerBriefs in Regional Science
1st Edition
Published on 1. August 2012
IX, 66 pages
978-3-642-31815-3 (ISBN)
Description
Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes for the entire distribution of the dependent variable. Despite its advantages, quantile regression is still not commonly used in the analysis of spatial data. The objective of this book is to make quantile regression procedures more accessible for researchers working with spatial data sets. The emphasis is on interpretation of quantile regression results. A series of examples using both simulated and actual data sets shows how readily seemingly complex quantile regression results can be interpreted with sets of well-constructed graphs. Both parametric and nonparametric versions of spatial models are considered in detail.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
IX, 66 p. 47 illus.
File size
3,22 MB
ISBN-13
978-3-642-31815-3 (9783642318153)
DOI
10.1007/978-3-642-31815-3
Schweitzer Classification
Other editions
Additional editions
Daniel P. McMillen
Quantile Regression for Spatial Data
Book
08/2012
1st Edition
Springer
€74.89
Shipment within 7-9 days
Person
Daniel McMillen is a Professor of Economics at the University of Illinois, with a joint appointment in the Institute of Government and Public Affairs. He serves as co-editor of
Regional Science and Economics.
Content
1 Quantile Regression: An Overview. 2 Linear and Nonparametric Quantile Regression.- 3 A Quantile Regression Analysis of Assessment Regressivity.-4 Quantile Version of the Spatial AR Model.- 5 . Conditionally Parametric Quantile Regression.- 6 Guide to Further Reading.- References.
