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

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.


Issue Date:
2006-08
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/43763
Published in:
Journal of Agricultural and Applied Economics, Volume 38, Number 2
Page range:
299-316
Total Pages:
18
JEL Codes:
C31; R21




 Record created 2017-04-01, last modified 2017-08-25

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