Arbeitspapier
Ordering ambiguous acts
We investigate what it means for one act to be more ambiguous than another. The question is evidently analogous to asking what makes one prospect riskier than another, but beliefs are neither objective nor representable by a unique probability. Our starting point is an abstract class of preferences constructed to be (strictly) partially ordered by a more ambiguity averse relation. First, we define two notions of more ambiguous with respect to such a class. A more ambiguous (I) act makes an ambiguity averse decision maker (DM) worse off but does not affect the welfare of an ambiguity neutral DM. A more ambiguous (II) act adversely affects a more ambiguity averse DM more, as measured by the compensation they require to switch acts. Unlike more ambiguous (I), more ambiguous (II) does not require indifference of ambiguity neutral elements to the acts being compared. Second, we implement the abstract definitions to characterize more ambiguous (I) and (II) for two explicit preference families: a maxmin expected utility and smooth ambiguity. Thirdly, we give applications to the comparative statics of more ambiguous in a standard portfolio problem and a consumption-saving problem.
- Sprache
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Englisch
- Erschienen in
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Series: Working Paper ; No. 828
- Klassifikation
-
Wirtschaft
Operations Research; Statistical Decision Theory
Information, Knowledge, and Uncertainty: General
Criteria for Decision-Making under Risk and Uncertainty
Portfolio Choice; Investment Decisions
- Thema
-
Ambiguity
Uncertainty
Knightian Uncertainty
Ambiguity Aversion
Uncertainty aversion
Ellsberg paradox
Comparative statics
Single-crossing
More ambiguous
Portfolio choice
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Jewitt, Ian
Mukerji, Sujoy
- Ereignis
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Veröffentlichung
- (wer)
-
Queen Mary University of London, School of Economics and Finance
- (wo)
-
London
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Jewitt, Ian
- Mukerji, Sujoy
- Queen Mary University of London, School of Economics and Finance
Entstanden
- 2017