This paper uses statistical regression techniques to develop a model to explain both warehouse asking prices and warehouse quoted lease rates. In developing the statistical models, the paper provides a useful comparison between ordinary least squares (OLS), and weighted least squares (WLS) techniques. The results indicate that the market for industrial property is rational and that property characteristics determine the majority of the building value. The results also indicate the presence of a clientele effect between the market for industrial property listed for sale and property listed for lease.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
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 Email: 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 Email: Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm
For technical questions regarding this item, or to correct its listing, contact: (JRER Graduate Assistant/Webmaster).
Related research
Keywords:
Other versions of this item:
Find related papers by JEL classification: L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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.:
Cited by: (explanations, 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.)