Munich Personal RePEc Archive

Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria

Herrera Gómez, Marcos and Mur Lacambra, Jesús and Ruiz Marín, Manuel (2012): Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria.

[thumbnail of MPRA_paper_73700.pdf]

Download (442kB) | Preview


In spatial econometrics, it is customary to specify a weighting matrix, the so-called W matrix, by choosing one matrix from a finite set of matrices. The decision is extremely important because, if the W matrix is misspecified, the estimates are likely to be biased and inconsistent. However, the procedure to select W is not well defined and, usually, it reflects the judgments of the user. In this paper, we revise the literature looking for criteria to help with this problem. Also, a new nonparametric procedure is introduced. Our proposal is based on a measure of the information, conditional entropy. We compare these alternatives by means of a Monte Carlo experiment.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.