A Connection between Paired Data Analysis and Regression Analysis for Estimating Sales Adjustments

Joseph B. Lipscomb () and J. Brian Gray ()
Additional contact information
Joseph B. Lipscomb: M.J. Neeley School of Business Texas Christian University Forth Worth, Texas 76129, http://www.neeley.tcu.edu/
J. Brian Gray: Department of Management Science and Statistics University of Alabama Tuscaloosa, Alabama 35487, http://www.cba.ua.edu/cbasta.html

Journal of Real Estate Research, 1995, vol. 10, issue 2, pages 175-184

Abstract: The two methods most often recommended for obtaining market-derived adjustments utilized in the sales comparison approach to appraisal are Paired Data Analysis and Multiple Regression Analysis. These approaches are viewed as competing alternatives, with advocates and detractors for each. The main purpose of this paper is to demonstrate that these two alternatives to estimating sales adjustments are equivalent under certain circumstances. This point of equivalence may prove to be a useful starting place for improving our understanding of the differences between and similarities of the two methods. After explaining the data requirements of each method, we provide a set of sufficient conditions under which the two methods produce identical adjustment estimates. We finish with a discussion ofrelative advantages and disadvantages of these two methods in estimating sale comparison adjustments.

JEL-codes: L85 (search for similar items in EconPapers)
Date: 1995
View list of references

Downloads: (external link)
http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol10n02/v10p175.pdf Full text (application/pdf)

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: http://EconPapers.repec.org/RePEc:jre:issued:v:10:n:2:1995:p:175-184

Ordering information: This journal article can be ordered from
Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
http://aux.zicklin.b ... u/jrer/about/get.htm

Access Statistics for this article

Journal of Real Estate Research is edited by Dr. Ko Wang

More articles in Journal of Real Estate Research from American Real Estate Society
Address: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
Series data maintained by JRER Graduate Assistant/Webmaster ().