A Commercial Real Estate Matching Method for Return Estimations
Spenser Robinson and
Alan Reichert
Journal of Real Estate Research, 2015, vol. 37, issue 4, 563-596
Abstract:
In this paper, we apply hedonic regression to estimate the grid adjustment factors for a national sample of commercial office properties. We demonstrate the viability of hedonic grid regression in commercial real estate. Several robustness tests are employed to test the reliability of the empirical results. We find that the hedonic approach yields slightly more accurate and stable prediction results than a basic matching model without hedonic adjustments.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2015.12091429 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rjerxx:v:37:y:2015:i:4:p:563-596
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjer20
DOI: 10.1080/10835547.2015.12091429
Access Statistics for this article
Journal of Real Estate Research is currently edited by William Hardin and Michael Seiler
More articles in Journal of Real Estate Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().