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.
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McMillen, D.P. (2013). Quantile Version of the Spatial AR Model. In: Quantile Regression for Spatial Data. SpringerBriefs in Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31815-3_4
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DOI: https://doi.org/10.1007/978-3-642-31815-3_4
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