Alternative Models for Describing Spatial Dependence among Dwelling Selling Prices

A. F. Militino (), M. D. Ugarte () and L. García-Reinaldos

The Journal of Real Estate Finance and Economics, 2004, vol. 29, issue 2, pages 193-209

Abstract: In this article different spatial statistics techniques to analyze the behavior of used dwelling market prices are compared. We fit two lattice models: simultaneous and conditional autoregressive, a geostatistical model, the so-called universal kriging and finally, a linear mixed-effect model. Different spatial neighborhood structures are considered, as well as different spatial weight matrices and covariance models. The results are illustrated through a real data set of 293 properties from Pamplona, Spain.

Date: 2004
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Persistent link: http://EconPapers.repec.org/RePEc:kap:jrefec:v:29:y:2004:i:2:p:193-209

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