Spatial Distribution of Retail Sales
AbstractWe examine the distribution of sales for a retail chain in the Houston market using a spatial gravity model. Unlike previous empirical studies, our approach models spatial dependencies among both consumers and retailers. The results show that both forms of spatial dependence exert statistically and economically significant impacts on the estimates of parameters in retail gravity models. Contrary to the suggestions of (Gautschi, D. A. (1981). “Specification of Patronage Models for Retail Center Choice,” Journal of Marketing Research 18, 162–174.) as well as (Eppli, M. J., and J. D. Shilling. (1996). “How Critical Is a Good Location to a Regional Shopping Center?” Journal of Real Estate Research 12, 459–468.), our results show the importance of the distance parameter in retail gravity models may be greatly understated. Thus, ignoring spatial dependence may lead to overestimation of the deterministic extent of trade areas, and underestimate the importance of good locations. Copyright Springer Science + Business Media, Inc. 2005
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Bibliographic InfoArticle provided by Springer in its journal The Journal of Real Estate Finance and Economics.
Volume (Year): 31 (2005)
Issue (Month): 1 (August)
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Web page: http://www.springerlink.com/link.asp?id=102945
spatial autoregression; spatial statistics; spatial econometrics; gravity model; trade area;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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