Utility Theory and Rent Optimization: Utilizing Cluster Analysis to Segment Rental Markets
Charles A. Smith and
Mark J. Kroll
Additional contact information
Charles A. Smith: Department of Business Management and Administrative Services University of Houston-Downtown Houston, Texas 77002, http://www.dt.uh.edu/academic/colleges/business/bmas/bmas.htm
Mark J. Kroll: Department of Management and Marketing University of Texas at Tyler Tyler, Texas 75701, http://www.uttyler.edu/cba/index.htm
Journal of Real Estate Research, 1989, vol. 4, issue 1, 61-71
Abstract:
The research reported here segments apartment residents and units into homogeneous groups. This segmentation is accomplished via cluster analysis. The purpose of the research is to identify market segments with higher marginal utility preferences for selected project or unit amenities; with the ultimate goal of rental rate optimization. The uniqueness of the research is twofold in that the "tenant response" based hedonic analysis is modeled via cluster analysis instead of the typical regressive framework. The usefulness of the research is based in the presentation of a methodology that should at least be considered as an adjunct technique to the typical regression analysis.
JEL-codes: L85 (search for similar items in EconPapers)
Date: 1989
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Citations: View citations in EconPapers (6)
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