Submarket, Heterogeneity and Hedonic Prediction Accuracy of Real Estate Prices: Evidence from Shanghai
This paper contributes to the literature by examining how much the prediction accuracy of real estate prices could be improved by applying hedonic equations at suitably defined disaggregate levels and incorporating directional heterogeneity of distance gradients. We build our empirical analysis on a large-scale database of real estate projects sold between 2005 and 2007 in Shanghai. Our analysis suggests that the Shanghai real estate market is a complex aggregate and taking into account submarket and directional heterogeneity in hedonic regressions could provide considerable benefits in improving the precision of real estate price predictions.
Volume (Year): 13 (2010)
Issue (Month): 2 ()
|Contact details of provider:|| Postal: |
Web page: http://www.asres.org/Email:
|Order Information:|| Postal: Asian Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA|
Web: http://www.asres.org/ Email:
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jie Chen & Qianjin Hao, 2008. "The impacts of distance to CBD on housing prices in Shanghai: a hedonic analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(3), pages 291-302.
When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:13:n:02:2010:p:190-217. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IRER Graduate Assistant/Webmaster)
If references are entirely missing, you can add them using this form.