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Decision Making with Imprecise Probabilistic Information Author info | Abstract | Publisher info | Download info | Related research | Statistics Thibault Gajdos ()
Jean-Marc Tallon ()
Jean-Christophe Vergnaud ()
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We develop an axiomatic approach to decision under uncertainty that explicitly takes into account the information available to the decision maker. The information is described by a set of priors and a reference prior. We define a notion of imprecision for this informational setting and show that a decision maker who is averse to information imprecision maximizes the minimum expected utility computed with respect to a subset of the set of initially given priors. The extent to which this set is reduced can be seen as a measure of imprecision aversion. This approach thus allows a lot of flexibility in modelling the decision maker attitude towards imprecision. In contrast, applying Gilboa and Schmeidler (1989) maxmin criterion to the initial set of priors amounts to assuming extreme pessimism.
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Paper provided by ICER - International Centre for Economic Research in its series ICER Working Papers - Applied Mathematics Series with number
18-2003.
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Length: 41 pages
Date of creation: Jun 2002Date of revision:
May 2003Handle: RePEc:icr:wpmath:18-2003Contact details of provider: Postal: Viale Settimio Severo, 63 - 10133 Torino - Italy Phone: +39 011 6604828 Fax: +39 011 6600082 Email: Web page: http://www.icer.it More information through EDIRC
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Keywords: Uncertainty ; Decision ; Multiple Priors ; Other versions of this item:
Find related papers by JEL classification: D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
This paper has been announced in the following NEP Reports :
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