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Quantile Version of the Spatial AR Model

In: Quantile Regression for Spatial Data

Author

Listed:
  • Daniel P. McMillen

    (University of Illinois)

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.

Suggested Citation

  • Daniel P. McMillen, 2013. "Quantile Version of the Spatial AR Model," SpringerBriefs in Regional Science, in: Quantile Regression for Spatial Data, edition 127, chapter 0, pages 37-47, Springer.
  • Handle: RePEc:spr:sbrchp:978-3-642-31815-3_4
    DOI: 10.1007/978-3-642-31815-3_4
    as

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