Indecisiveness aversion and preference for commitment
AbstractWe present an axiomatic model of preferences over menus that is motivated by three assumptions. First, the decision maker is uncertain ex ante (i.e. at the time of choosing a menu) about her ex post (i.e. at the time of choosing an option within her chosen menu) preferences over options, and she anticipates that this subjective uncertainty will not resolve before the ex post stage. Second, she is averse to ex post indecisiveness (i.e. to having to choose between options that she cannot rank with certainty). Third, when evaluating a menu she discards options that are dominated (i.e. inferior to another option whatever her ex post preferences may be) and restricts attention to the undominated ones. Under these assumptions, the decision maker has a preference for commitment in the sense of preferring menus with fewer undominated alternatives. We derive a representation in which the decision maker's uncertainty about her ex post preferences is captured by means of a subjective state space, which in turn determines which options are undominated in a given menu, and in which the decision maker fears, whenever indecisive, to choose an option that will turn out to be the worst (undominated) one according to the realization of her ex post preferences.
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Bibliographic InfoPaper provided by Economic Research Southern Africa in its series Working Papers with number 157.
Date of creation: 2009
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Opportunity sets; subjective uncertainty; indecisiveness; dominance;
Other versions of this item:
- Eric Danan & Ani Guerdjikova & Alexander Zimper, 2012. "Indecisiveness aversion and preference for commitment," Theory and Decision, Springer, vol. 72(1), pages 1-13, January.
- Eric Danan Ani Guerdjikovaz Alexander Zimper, 2009. "Indecisiveness aversion and preference for commitment," THEMA Working Papers 2009-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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