Quantile Version of the Spatial AR Model

  • Daniel P. McMillen
Chapter
Part of the SpringerBriefs in Regional Science book series (BRIEFSREGION)

Abstract

The analysis up to this point has not been explicitly spatial. Although the explanatory variables might include measures of access to various amenities such as a city’s central business district, parks, or lakes, nothing yet is unique to the analysis of spatial data. Several attempts have been made to adapt the standard spatial autoregressive (AR) model for quantile regression. The studies by Kostov (2009), Liao and Wang (2012), and Zeitz et al. (2008) represent the first attempts to estimate quantile versions of the spatial AR model.

Keywords

Explanatory Variable Quantile Regression Sale Price Kernel Regression Quantile Estimate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© The Author(s) 2013

Authors and Affiliations

  • Daniel P. McMillen
    • 1
  1. 1.Department of Economics Institute of Government and Public AffairsUniversity of IllinoisUrbanaUSA

Personalised recommendations