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Journal of Risk and Uncertainty
Article . 2010 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.5167/uzh...
Other literature type . 2010
Data sources: Datacite
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Reverse Common Ratio Effect

Authors: Blavatskyy, P.R.;

Reverse Common Ratio Effect

Abstract

The results of a new experimental study reveal highly systematic violations of expected utility theory. The pattern of these violations is exactly the opposite of the classical common ratio effect discovered by Allais (1953). Two recent decision theories—stochastic expected utility theory (Blavatskyy 2007) and perceived relative argument model (Loomes 2008)—predicted the existence of a reverse common ratio effect. However, these theories can rationalize only one part of the new experimental data reported in this paper. The other part appears to be neither predicted by existing theories nor documented in the existing empirical studies.

Countries
Switzerland, Australia
Keywords

10007 Department of Economics, IEW Institute for Empirical Research in Economics (former), Expected utility theory, common ratio effect, Allais paradox, risk, experiment, 330 Economics, jel: jel:D81, jel: jel:C91

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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!
35
Top 10%
Top 10%
Average
Green
bronze