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Modeling Ambiguity in Decisions Under Uncertainty
Abstract
We present a model for predicting consumers' choices under conditions of uncertainty and ambiguity. We use the term ambiguity to distinguish the class of risky decisions for which the odds of an uncertain event are not precisely known. We show that our model predicts different decisions for individuals who are ambiguity averse, ambiguity seeking, or ambiguity indifferent, thus relaxing the constraint imposed on preferences by subjected expected utility theory.
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Citations
Cites
“Risk, Ambiguity, and the Savage Axioms.”
Ellsberg, D. (1961) · The Quarterly Journal of Economics · doi:10.2307/1884324 · Cited by 7,891
Cited by
Recent developments in modeling preferences: Uncertainty and ambiguity
Camerer, C., & Weber, M. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122575 · Cited by 1,795
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
Risk, uncertainty and the theory of planned behavior: A tourism example
Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010) · Tourism Management · doi:10.1016/j.tourman.2009.08.006 · Cited by 855
Humans use directed and random exploration to solve the explore–exploit dilemma.
Wilson, R. C., Geana, A., White, J. M., Ludvig, E. A., & Cohen, J. D. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0038199 · Cited by 580
A dual system model of preferences under risk
Mukherjee, K. (2010) · Psychological Review · doi:10.1037/a0017884 · Cited by 198
Metadata
- Authors
- Kahn, B. E., & Sarin, R. K.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-09
- Volume
- 15
- Issue
- 2
- Pages
- 265
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2037511166
- Cited by
- 355
- References
- 1
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kahn, B. E., & Sarin, R. K. (1988). Modeling Ambiguity in Decisions Under Uncertainty. Journal of Consumer Research. https://doi.org/10.1086/209163
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.