Unintended hedging in ambiguity experiments

We describe an ambiguity hedging problem in Ellsberg experiments, where combinations of individually ambiguous bets eliminate aggregate ambiguity, and which may yield incorrect classifications of ambiguity averse subjects. We propose a new classification consistent with this hedging possibility.

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Bibliographic Details
Main Authors: Oechssler, Joerg (Author) , Roomets, Alex (Author)
Format: Article (Journal)
Language:English
Published: 2014
In: Economics letters
Year: 2014, Volume: 122, Issue: 2, Pages: 243-246
ISSN:0165-1765
DOI:10.1016/j.econlet.2013.11.029
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.econlet.2013.11.029
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0165176513005235
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Author Notes:Jörg Oechssler, Alex Roomets
Description
Summary:We describe an ambiguity hedging problem in Ellsberg experiments, where combinations of individually ambiguous bets eliminate aggregate ambiguity, and which may yield incorrect classifications of ambiguity averse subjects. We propose a new classification consistent with this hedging possibility.
Item Description:Available online 4 December 2013
Gesehen am 08.10.2020
We thank Peter Duersch, Adam Dominiak, Jürgen Eichberger, Yoram Halevy, PJ Healy, Jean-Philippe Lefort, Christoph Kuzmics, Stefan Trautmann, and ananonymous referee, as well as seminar audiences in Heidelberg, Copenhagen, Bielefeld, and at the ESA meeting Santa Cruz, 2013 for very helpful comments
Physical Description:Online Resource
ISSN:0165-1765
DOI:10.1016/j.econlet.2013.11.029