Journal of Geographical Systems

, Volume 15, Issue 1, pp 51–69 | Cite as

Empirical likelihood estimation of the spatial quantile regression

  • Philip KostovEmail author
Original Article


The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an alternative estimator for this model. The properties of the proposed estimator are discussed in a comparative perspective with regard to the other available estimators. Simulation evidence on the small sample properties of the proposed estimator is provided. The proposed estimator is feasible and preferable when the model contains multiple spatial weighting matrices. Furthermore, a version of the proposed estimator based on the exponentially tilted empirical likelihood could be beneficial if model misspecification is suspect.


Empirical likelihood Quantile regression Spatial data 

JEL Classification

C21 C26 

Supplementary material (9 kb)
Supplementary material 1 (ZIP 9 kb)


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  1. 1.Lancashire Business SchoolUniversity of Central LancashirePreston, LancashireUK

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