Konferenzbeitrag
The Rich Domain of Ambiguity Explored
Ellsberg and others suggested that decision under ambiguity is a rich empirical domain with many phenomena to be investigated beyond the Ellsberg urns. We provide a systematic empirical investigation of this richness by varying both the uncertain events, the outcomes, and combinations of these. Although ambiguity aversion is prevailing, we also find systematic ambiguity seeking, confirming insensitivity. We find that ambiguity attitudes depend on the source of uncertainty (the kind of uncertain event) but not on the outcomes. Ambiguity attitudes are closer to rationality (ambiguity neutrality) for natural uncertainties than for the Ellsberg urns, as appearing from the reductions of monotonicity violations and of insensitivity. Our rich domain serves well to test families of weighting functions for fitting ambiguity attitudes. We find that two-parameter families, capturing not only aversion but also insensitivity, are desirable for ambiguity even more than for risk. The Goldstein-Einhorn family performs best for ambiguity.
- Language
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Englisch
- Bibliographic citation
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Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: Demographischer Wandel - Session: Decision-Making under Risk and Ambiguity ; No. D04-V1
- Classification
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Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Design of Experiments: Laboratory, Individual
Information, Knowledge, and Uncertainty: General
- Event
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Geistige Schöpfung
- (who)
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Müller, Julia
Li, Zhihua
Wakker, Peter P.
Wang, Tong V.
- Event
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Veröffentlichung
- (who)
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
- (where)
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Kiel und Hamburg
- (when)
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2016
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Konferenzbeitrag
Associated
- Müller, Julia
- Li, Zhihua
- Wakker, Peter P.
- Wang, Tong V.
- ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
Time of origin
- 2016