Retrospective Analysis of the Dwelling Price by means of STAR models with neighbourhood effects. An application to the construction of price indexes
The need of retrospective predictions arises in situations such as litigations, inheritances or fiscal purposes to provide the fair market value of a dwelling of given characteristics and specific location. In this paper, a Bayesian method to carry out this retrospective analysis is proposed by using a Spatio-Temporal Autoregressive (STAR) model with neighborhood effects and heteroscedastic errors. Moreover, the developed methodology allows the construction of a retrospective price index that shows the evolution of the dwelling price level in a specific geographical area. The methodology is illustrated with an application to the real estate market in the Spanish city of Zaragoza.
Volume (Year): 35 (2013)
Issue (Month): 2 ()
|Contact details of provider:|| Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323|
Web page: http://www.aresnet.org/
|Order Information:|| Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323|
Web: http://pages.jh.edu/jrer/about/get.htm Email:
When requesting a correction, please mention this item's handle: RePEc:jre:issued:v:35:n:2:2013:p:173-198. 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: (JRER Graduate Assistant/Webmaster)
If references are entirely missing, you can add them using this form.