Considerations for a Regression-Based Real Estate Valuation and Appraisal Model: A Pilot Study

Shawn L. Robey, Mark A McKnight, Misty R. Price and Rachel N. Coleman

Accounting and Finance Research, 2019, vol. 8, issue 2, 99

Abstract: This paper advocates a more scientific approach to residential real estate valuation as opposed to more traditional approaches, which are flawed for two main reasons- (1) appraiser judgements are almost exclusively used and (2) appraisers’ sample sizes are too small to provide adequate estimated values. By using a regression model, this paper explores the impacts of different characteristics on market value. Three hundred and fifteen properties in Evansville, Indiana, were analyzed testing twelve different variables. This model suggests that 91.8% of the total market value variation is explained by four independent variables. These findings provide evidence that multiple linear regression could be used to better predict a property’s value.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.sciedupress.com/journal/index.php/afr/article/download/14978/9485 (application/pdf)
https://www.sciedupress.com/journal/index.php/afr/article/view/14978 (text/html)

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:jfr:afr111:v:8:y:2019:i:2:p:99

Access Statistics for this article

More articles in Accounting and Finance Research from Sciedu Press Contact information at EDIRC.
Bibliographic data for series maintained by Sciedu Press ().