Elimination-By-Cutoffs
Ajay K. Manrai and
Prabhakant Sinha
Additional contact information
Ajay K. Manrai: University of Pennsylvania
Prabhakant Sinha: ZS Associates
Marketing Science, 1989, vol. 8, issue 2, 133-152
Abstract:
This paper presents Elimination-By-Cutoffs (EBC), an individual-level model of choice which derives choice probabilities from the location of choice alternatives in a perceptual space. EBC is a multidimensional operationalization of Tversky's (Tversky, A. 1972. Elimination by aspects: A theory of choice. (4) 281–299.) feature-based set-theoretic Elimination-By-Aspects (EBA) model of choice. It employs monotonic and noninteractive utilities of perceptual attributes in a sequential elimination strategy to determine choice. EBC like EBA is free from the property of independence from irrelevant alternatives. Unlike the independent multinomial logit model (IML), EBC takes into consideration the effect of product similarities on the computation of choice probabilities. An empirical application is also presented in this paper. The EBC model is parameterized from readily available data and is computationally tractable. A comparison between predictions from EBC and IML is drawn using a holdout sample. Approaches for assessing the implications of alternative product positioning strategies are also developed. Finally, extensions to nonmonotonic utility functions, interactive utility functions and other directions for further work with the EBC model are discussed.
Keywords: choice model; IIA; similarity; product positioning; choice probability; multiattribute utility; EBA; perceptual map; independent multinomial logit (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/mksc.8.2.133 (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:ormksc:v:8:y:1989:i:2:p:133-152
Access Statistics for this article
More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().