Artikel
Savage games
We define and discuss Savage games, which are ordinal games of incomplete information set in L. J. Savage's framework of purely subjective uncertainty. Every Bayesian game is ordinally equivalent to a Savage game. However, Savage games are free of priors, probabilities and payoffs. Players' information and subjective attitudes toward uncertainty are encoded in the state-dependent preferences over state contingent action profiles. In the class of games we consider, player preferences satisfy versions of Savage's sure thing principle and small event continuity postulate. Savage games provide a tractable framework for studying attitudes towards uncertainty in a strategic setting. The work eschews any notion of objective randomization, convexity, monotonicity, or independence of beliefs. We provide a number of examples illustrating the usefulness of the framework, including novel results for a purely ordinal matching game that satisfies all of our assumptions and for games for which the preferences of the players admit representations from a wide class of decision-theoretic models.
- Language
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Englisch
- Bibliographic citation
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Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 11 ; Year: 2016 ; Issue: 2 ; Pages: 641-682 ; New Haven, CT: The Econometric Society
- Classification
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Wirtschaft
Noncooperative Games
Criteria for Decision-Making under Risk and Uncertainty
- Subject
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Subjective uncertainty
strategic interaction
strategically irrelevant events
ambiguity
bayesian games
- Event
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Geistige Schöpfung
- (who)
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Grant, Simon
Meneghel, Idione
Tourky, Rabee
- Event
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Veröffentlichung
- (who)
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The Econometric Society
- (where)
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New Haven, CT
- (when)
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2016
- DOI
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doi:10.3982/TE2068
- Handle
- Last update
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10.03.2025, 11:42 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
- Artikel
Associated
- Grant, Simon
- Meneghel, Idione
- Tourky, Rabee
- The Econometric Society
Time of origin
- 2016