The Use of Rank Transformation and Multiple Regression Analysis in Estimating Residential Property Values With A Small Sample
AbstractConventional multiple regression analysis which has been used in estimating residential property values typically relies upon cardinal data. This paper argues that appraisal theory requires the appraiser to rank the comparables from best to worst and use a regression technique which can be applied to ordinal data. The rank regression procedure illustrated here was successfully used on small sample sizes, and did not violate the critical assumptions underlying conventional multiple regression. The results indicate that the rank regression technique illustrated here is more theoretically correct than conventional multiple regression and produces a better model with more accurate price estimates.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal Journal of Real Estate Research.
Volume (Year): 1 (1986)
Issue (Month): 1 ()
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/
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
Find related papers by JEL classification:
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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- George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
- Han Bin Kang & Alan K. Reichert, 1987. "An Evaluation of Alternative Estimation Techniques and Functional Forms in Developing Statistical Appraisal Models," Journal of Real Estate Research, American Real Estate Society, vol. 2(1), pages 1-29.
- Agusman, Agusman & Monroe, Gary S. & Gasbarro, Dominic & Zumwalt, J.K., 2008. "Accounting and capital market measures of risk: Evidence from Asian banks during 1998-2003," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 480-488, April.
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