Bayesian Analysis of Consumer Choices with Taste, Context, Reference Point and Individual Scale Effects

Wuyang Hu, Wiktor Adamowicz and Michele M. Veeman

No 19296, 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: This paper adopts an approach based on the concepts of random utility maximization and builds on the general theoretical framework of Lancaster and on the conceptual and econometric innovations of McFadden. Recent research in this area explores models that account for context effects, as well as methods for characterizing heterogeneity, response variability and decision strategy selection by consumers. This makes it possible to construct much richer empirical models of individual consumer behavior. A Bayesian approach provides a useful way to estimate and interpret models that are difficult to accomplish by conventional maximization/minimization algorithms. The application reported in the paper involves analysis of reference dependence and product labeling as context effects and the assessment of heterogeneity and response variability.

Keywords: Consumer/Household; Economics (search for similar items in EconPapers)
Pages: 24
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/19296/files/sp05hu02.pdf (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:ags:aaea05:19296

DOI: 10.22004/ag.econ.19296

Access Statistics for this paper

More papers in 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().