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Stochastic Dominance in Regret Theory

Authors: Quiggin, J;

Stochastic Dominance in Regret Theory

Abstract

The regret theory of choice under uncertainty is known to admit intransitivities in preference relations. In this paper, the stochastic dominance properties of the theory are examined. It is shown that the usual definition of first stochastic dominance is not satisfied by regret-theoretic preferences and that, in general, violations of first stochastic dominance are not merely permitted but required. An exact characterization of the stochastic dominance rule corresponding to regret-theoretic preferences is presented. This concept is weaker than the usual definition, but stronger than the notion of statewise dominance in which one prospect yields a preferred outcome with probability 1. Theories of choice under uncertainty have proliferated in recent years, after a long period in which the expected utility (EU) approach of Von Neumann and Morgenstern (1944) was pre-eminent. The breakdown of the dominance in EU theory reflects the increasing body of evidence that the choices made by many people systematically violate the predictions of the theory. The axiomatic foundations of the theory, and in particular the "independence axiom" have also received severe questioning, ever since the famous critique of Allais (1953).

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Australia
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
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