The University of Texas at San Antonio, College of Business
نویسندگان
چکیده
This work proposes a non-stationary random field model to describe the spatial variability of housing prices that are affected by a localized externality. The model allows for the effect of the localized externality on house prices to be represented in the mean function and/or the covariance function of the random field. The correlation function of the proposed model is a mixture of an isotropic correlation function and a correlation function that depends on the distances between home sales and the localized externality. The model is fit using a Bayesian approach via a Markov chain Monte Carlo algorithm. A dataset of 437 single family home sales during 2001 in the city of Cedar Falls, Iowa, is used to illustrate the model.
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Copyright ©2006 by the UTSA College of Business. All rights reserved. This document can be downloaded without charge for educational purposes from the UTSA College of Business Working Paper Series (business.utsa.edu/wp) without explicit permission, provided that full credit, including © notice, is given to the source. The views expressed are those of the individual author(s) and do not necessar...
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Copyright ©2006 by the UTSA College of Busines. All rights reserved. This document can be downloaded without charge for educational purposes from the UTSA College of Business Working Paper Series (business.utsa.edu/wp) without explicit permission, provided that full credit, including © notice, is given to the source. The views expressed are those of the individual author(s) and do not necessari...
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