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

Seong-Hoon Cho (), Christopher Clark and William M. Park

Journal of Agricultural and Applied Economics, 2006, vol. 38, issue 2, 18

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 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: Community/Rural/Urban; Development (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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Journal Article: Two Dimensions of the Spatial Distribution of Housing: Dependency and Heterogeneity across Tennessee's Six Metropolitan Statistical Areas (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:43763

DOI: 10.22004/ag.econ.43763

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