SpringerBriefs in Regional Science

Quantile Regression for Spatial Data

Authors: McMillen, Daniel P.

  • Emphasis on graphical interpretation of quantile regression results
  • Presents estimators designed specifically for the analysis of spatial data
  • Includes both parametric and nonparametric approaches
  • Includes both parametric and nonparametric
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eBook $34.99
price for USA (gross)
  • ISBN 978-3-642-31815-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-3-642-31814-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

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.

Table of contents (6 chapters)

  • Quantile Regression: An Overview

    McMillen, Daniel P.

    Pages 1-11

  • Linear and Nonparametric Quantile Regression

    McMillen, Daniel P.

    Pages 13-27

  • A Quantile Regression Analysis of Assessment Regressivity

    McMillen, Daniel P.

    Pages 29-35

  • Quantile Version of the Spatial AR Model

    McMillen, Daniel P.

    Pages 37-47

  • Conditionally Parametric Quantile Regression

    McMillen, Daniel P.

    Pages 49-60

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-3-642-31815-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-3-642-31814-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Quantile Regression for Spatial Data
Authors
Series Title
SpringerBriefs in Regional Science
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-642-31815-3
DOI
10.1007/978-3-642-31815-3
Softcover ISBN
978-3-642-31814-6
Series ISSN
2192-0427
Edition Number
1
Number of Pages
IX, 66
Number of Illustrations and Tables
47 b/w illustrations
Topics