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Two Dimensions of the Spatial Distribution of Housing: Dependency and Heterogeneity across Tennessee's Six Metropolitan Statistical Areas

Published online by Cambridge University Press:  09 September 2016

Seong-Hoon Cho ,
Christopher D. Clark  and
William M. Park
Seong-Hoon Cho
Affiliation:
Department of Agricultural Economics, the University of Tennessee
Christopher D. Clark
Affiliation:
Department of Agricultural Economics, the University of Tennessee
William M. Park
Affiliation:
Department of Agricultural Economics, the University of Tennessee
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Abstract

A two-stage multinomial logit selection model is used to model the relationship between demographic characteristics and housing density across Tennessee's six metropolitan statistical areas. The study finds that there is both spatial correlation and heterogeneity in the spatial distribution of housing both within and across the six areas. For example, Memphis, the most densely populated area, has the least amount of spatial correlation among housing density at the neighborhood level, while Johnson City, which has the lowest overall housing density, has the highest degree of spatial correlation.

Keywords

communityhousing densityspatial dependencyspatial heterogeneityC31R21

Information

Type
Invited Paper Sessions
Information
Journal of Agricultural and Applied Economics , Volume 38 , Issue 2 , August 2006 , pp. 299 - 316
Copyright
Copyright © Southern Agricultural Economics Association 2006

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