Assessing the Rental Value of Residential Properties: An Abductive Learning Networks Approach

Kee S. Kim () and Walt A. Nelson ()
Additional contact information
Kee S. Kim: Southwest Missouri State University 901 S. National Ave Springfield, Missouri 65804, http://www.smsu.edu/fgb/
Walt A. Nelson: Southwest Missouri State University 901 S. National Ave Springfield, Missouri 65804, http://www.smsu.edu/fgb/

Journal of Real Estate Research, 1996, vol. 12, issue 1, 63-78

Abstract: This paper attempts to estimate rental value of residential properties using Abductive Learning Networks (ALN), and artificial intelligence technique. The results indicate that the ALN model provides an accurate estimation of rents with only seven input variables, while other multivariate statistical techniques do not. The ALN model automatically selects the best network structure, node types and coefficients, and therefore it simplifies the maintenance of the model. Once the final model is synthesized, the ALN model becomes very compact, rapidly executable and cost-effective.

JEL-codes: L85 (search for similar items in EconPapers)
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://pages.jh.edu/jrer/papers/pdf/past/vol12n01/v12p063.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: https://EconPapers.repec.org/RePEc:jre:issued:v:12:n:1:1996:p:63-78

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://pages.jh.edu/jrer/about/get.htm

Access Statistics for this article

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

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