Bitter, Chris and Mulligan, Gordon and Dall'erba, Sandy (2006): Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method.
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Hedonic house price models typically impose a constant price structure on housing characteristics throughout an entire market area. However, there is increasing evidence that the marginal prices of many important attributes vary over space, especially within large markets. In this paper, we compare two approaches to examine spatial heterogeneity in housing attribute prices within the Tucson, Arizona housing market: the spatial expansion method and geographically weighted regression (GWR). Our results provide strong evidence that the marginal price of key housing characteristics varies over space. GWR outperforms the spatial expansion method in terms of explanatory power and predictive accuracy.
|Item Type:||MPRA Paper|
|Original Title:||Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method|
|Subjects:||R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R0 - General|
|Depositing User:||Sandy Dall'erba|
|Date Deposited:||09. Jan 2007|
|Last Modified:||12. Feb 2013 10:04|