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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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Article
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Econometrica
Article . 1987 . Peer-reviewed
Data sources: Crossref
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Proper Risk Aversion

Proper risk aversion
Authors: Pratt, John W; Zeckhauser, Richard J;

Proper Risk Aversion

Abstract

This paper introduces the concept of proper risk aversion to expected utility theory. A decision-maker displays proper risk aversion if, given two independent undesirable monetary lotteries and being required to take one of them he continues to find the other undesirable. This condition implies decreasing risk-aversion. The first main result is an equivalence theorem between properness and some conditions on certainty equivalents. A large class of widely-used utility functions are shown to be proper, and analytical necessary and sufficient conditions are derived.

Keywords

lotteries, expected utility theory, independent risks, Utility theory, Decision theory, proper risk aversion, insurance

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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!
359
Top 1%
Top 1%
Top 10%
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