Modeling spatial dimensions of housing prices in Milwaukee, WI

Danlin Yu, Yehua Dennis Wei, Changshan Wu

Research output: Contribution to journalArticleResearchpeer-review

54 Citations (Scopus)

Abstract

In this study we investigate spatial dimensions of bousing-market dynamics in the City of Milwaukee by modeling the determinants of housing prices. From the 2003 Master Property data file of the city, two sets of owner-occupied single-family houses were randomly selected (one to construct the models, and the other to test the models). Besides conventional housing attributes, remote-sensing information, in particular the fractions of soil and impervious surface representing degraded neighborhood environment conditions, is added to improve the model. Spatial regression and geographically weighted regression approaches are employed to examine spatial dependence and heterogeneity. Results reveal that these spatial models tend to perform better, especially in terms of model performance and predictive accuracy, than the ordinary least squares estimates.

Original languageEnglish
Pages (from-to)1085-1102
Number of pages18
JournalEnvironment and Planning B: Planning and Design
Volume34
Issue number6
DOIs
StatePublished - 1 Jan 2007

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housing
modeling
regression
Remote sensing
price
determinants
remote sensing
Soils
market
performance
soil
city

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Yu, Danlin ; Wei, Yehua Dennis ; Wu, Changshan. / Modeling spatial dimensions of housing prices in Milwaukee, WI. In: Environment and Planning B: Planning and Design. 2007 ; Vol. 34, No. 6. pp. 1085-1102.
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Modeling spatial dimensions of housing prices in Milwaukee, WI. / Yu, Danlin; Wei, Yehua Dennis; Wu, Changshan.

In: Environment and Planning B: Planning and Design, Vol. 34, No. 6, 01.01.2007, p. 1085-1102.

Research output: Contribution to journalArticleResearchpeer-review

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