Choice under Limited Uncertainty
AbstractThis paper considers the problem of an agent's choice under uncertainty in a new framework. The agent does not know the true probability distribution over the state space but is objectively informed that it belongs to a specified set of probabilities. Maintaining the hypothesis that this agent is a subjective expected utility maximizer, we address the question of how the objective information influences her subjective prior.
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Bibliographic InfoArticle provided by De Gruyter in its journal The B.E. Journal of Theoretical Economics.
Volume (Year): 6 (2006)
Issue (Month): 1 (September)
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Web page: http://www.degruyter.com
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- Takashi Hayashi & Ryoko Wada, 2010. "Choice with imprecise information: an experimental approach," Theory and Decision, Springer, vol. 69(3), pages 355-373, September.
- Chambers, Christopher P. & Hayashi, Takashi, 2010. "Bayesian consistent belief selection," Journal of Economic Theory, Elsevier, vol. 145(1), pages 432-439, January.
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