Empirical likelihood estimation of the spatial quantile regression.
Journal of Geographical Systems
Official URL: http://dx.doi.org/10.1007/s10109-012-0162-3
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.
|Additional Information:||The article version has associated code archive. An updated version of the latter will be uploaded separately, see http://clok.uclan.ac.uk/3810|
|Uncontrolled Keywords (separate with ;):||Empirical likelihood ; Quantile regression ; Spatial data |
|Subjects:||H Social Sciences > HA Statistics|
|Schools:||Lancashire Business School|
|Deposited On:||16 Mar 2012 19:14|
|Last Modified:||01 Aug 2012 08:52|
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