Modelling in new housing choice--An application
S Dibb
Omega, 1994, vol. 22, issue 6, 589-600
Abstract:
This paper develops a model, using multidimensional contingency table analysis, to begin to unravel some of the complexities of house buying. The model has important practical implications in helping builders, developers and planners educate house buyers and influence the choices which they make. Academic and practitioner research suggests that the 'hierarchy of effects' principle can be used to explain the way customers buy houses. The assumption is that 'primary' choice issues, like size, price and locality must be satisfied before 'secondary' ones, such as whether the property has double glazing, a fitted kitchen or a security system. This paper develops a model of housing choice based on a number of secondary choice issues, such as preferences for different property features, preferences for alternative property designs and how knowledgeable customers were about energy efficiency issues. The modelling techniques applied include cluster analysis and multidimensional contingency table analysis. The work is the result of a UK research project investigating how energy efficient new housing can be marketed.
Keywords: customer; choice; marketing; modelling; planning; portfolio; selection; property (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0305-0483(94)90050-7
Full text for ScienceDirect subscribers only
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:eee:jomega:v:22:y:1994:i:6:p:589-600
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().