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

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Author Info
Cho, Seong-Hoon
Clark, Christopher D.
Park, William M.

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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 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.

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File URL: http://purl.umn.edu/43763
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Publisher Info
Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

Volume (Year): 38 (2006)
Issue (Month): 02 (August)
Pages:
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Handle: RePEc:ags:joaaec:43763

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Related research
Keywords: community; housing density; spatial dependency; spatial heterogeneity; Community/Rural/Urban Development; C31; R21;

References listed on IDEAS
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  1. Meen, Geoffrey & Andrew, Mark, 1998. "On the Aggregate Housing Market Implications of Labour Market Change," Scottish Journal of Political Economy, Scottish Economic Society, vol. 45(4), pages 393-419, September. [Downloadable!] (restricted)
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This page was last updated on 2009-11-11.

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