dx.doi.org/10.1007/s10109-012-0162-3

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https://dx.doi.org/10.1007/s10109-012-0162-3

Empirical likelihood estimation of the spatial quantile regression - Journal of Geographical Systems

The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an al



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Empirical likelihood estimation of the spatial quantile regression - Journal of Geographical Systems

https://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 al



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https://dx.doi.org/10.1007/s10109-012-0162-3

Empirical likelihood estimation of the spatial quantile regression - Journal of Geographical Systems

The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an al

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      Empirical likelihood estimation of the spatial quantile regression - Journal of Geographical Systems
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      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.
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      Journal of Geographical Systems - The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an...
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