Categories shape preferences: A model of taste heterogeneity arising from categorization of alternatives
Joffre Swait,
Neil Brigden and
Richard D. Johnson
Journal of choice modelling, 2014, vol. 13, issue C, 3-23
Abstract:
We propose and test a choice model based on the notion that the category an alternative is perceived to fall into determines the attribute importance weights used to evaluate that alternative. For example, space is more important than fuel economy for an SUV, but the opposite is true for a commuter car. In our model, the weights associated with different categories are stable, but categorization decisions can be subject to significant context effects; that is to say, we suggest that context effects are due to task interpretation rather than to preference construction. We demonstrate that the model can correctly detect experimental manipulations of product categorizations, supporting its suitability as a tool to capture preference heterogeneity arising from categorizations outcomes. The model is then employed to analyze data from a discrete choice experiment and the results provide rich behavioral insights into how categorization influences choice processes.
Keywords: Choice model; Taste heterogeneity; Categorization; Random utility; GEV (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1755534514000268
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:eejocm:v:13:y:2014:i:c:p:3-23
DOI: 10.1016/j.jocm.2014.05.003
Access Statistics for this article
Journal of choice modelling is currently edited by S. Hess and J.M. Rose
More articles in Journal of choice modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().