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Alternative Models for Describing Spatial Dependence among Dwelling Selling Prices

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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.

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Authors and Affiliations

  1. Departamento de Estadística e Investigación Operativa, Universidad Pública de Navarra, Campus de Arrosadía, 31006, Pamplona, Spain

    A. F. Militino, M. D. Ugarte & L. García-Reinaldos

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  1. A. F. Militino
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  2. M. D. Ugarte
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  3. L. García-Reinaldos
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Militino, A.F., Ugarte, M.D. & García-Reinaldos, L. Alternative Models for Describing Spatial Dependence among Dwelling Selling Prices. The Journal of Real Estate Finance and Economics 29, 193–209 (2004). https://doi.org/10.1023/B:REAL.0000035310.20223.e9

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  • DOI: https://doi.org/10.1023/B:REAL.0000035310.20223.e9

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