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Spatial Statistics and Real Estate Author info | Abstract | Publisher info | Download info | Related research | Statistics Pace, R Kelley
Barry, Ronald
Sirmans, C F
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Real estate has historically employed statistical tools designed for independent observations while simultaneously noting the violation of these assumptions in the form of clustering of same sign residuals by neighborhood, along roads, and near facilities such as airports. Spatial statistics takes these dependencies into account to provide more realistic inference (OLS has biased standard errors), better prediction, and more efficient parameter estimation. This article provides an overview of the field and directs readers to the relevant literature and software. Copyright 1998 by Kluwer Academic Publishers
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Article provided by Springer in its journal Journal of Real Estate Finance & Economics .
Volume (Year): 17 (1998)
Issue (Month): 1 (July)
Pages: 5-13
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Handle: RePEc:kap:jrefec:v:17:y:1998:i:1:p:5-13Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=102945
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