Predicting Demand for Residential Solar Heating: An Attribute Method

Michael Berkowitz and G. H. Haines
Additional contact information
G. H. Haines: University of Toronto

Management Science, 1982, vol. 28, issue 7, 717-727

Abstract: This paper presents two models which allow long run demand for a new product to be estimated prior to any significant sales history. The specific product studied is residential solar heating in Canada. Both models are based on the concept that consumers react in their purchasing decisions to the inherent package of characteristics in a commodity. The use of survey information to enable specific numerical estimates to be made is exemplified. Directions for future research to improve the usefulness of such models are suggested.

Keywords: forecasting: applications; marketing: new products (search for similar items in EconPapers)
Date: 1982
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.28.7.717 (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:inm:ormnsc:v:28:y:1982:i:7:p:717-727

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().