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Ambiguity and Probabilistic information

Dominiak, Adam; Lefort, Jean-Philippe (2021), Ambiguity and Probabilistic information, Management Science, 67, 7, p. 4310-4326. 10.1287/mnsc.2020.3705

Type
Article accepté pour publication ou publié
Date
2021-11
Journal name
Management Science
Volume
67
Number
7
Publisher
INFORMS - Institute for Operations Research and the Management Sciences
Pages
4310-4326
Publication identifier
10.1287/mnsc.2020.3705
Metadata
Show full item record
Author(s)
Dominiak, Adam
Lefort, Jean-Philippe
Centre d'économie de la Sorbonne [CES]
Laboratoire d'Economie de Dauphine [LEDa]
Abstract (EN)
Experiments detecting ambiguity aversion often rely on the assumption that probabilities are exogenously given for some uncertain events. However, the canonical models that accommodate ambiguity into economic theory, such as the maxmin expected utility (MEU) and Choquet expected utility (CEU) models, are purely subjective. These models do not specify how subjects could incorporate exogenous probabilities into decisions. We study two approaches for embedding exogenous probabilities in the context of the thought experiments suggested by Mark Machina. We show that Machina’s choice behavior entails fundamentally different consequences for the ambiguity models mentioned; although it violates the CEU model, it is consistent with the MEU model. For the latter model, Machina’s experiments can test whether individuals adhere to expected utility for prospects whose consequences occur with the exogenously given probabilities.
Subjects / Keywords
Ambiguity; experiments; paradoxes; exogenous probabilities; probabilistic sophistication; Choquet expected utility; α-maxmin expected utility; smooth ambiguity model
JEL
C61 - Optimization Techniques; Programming Models; Dynamic Analysis
D83 - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
C44 - Operations Research; Statistical Decision Theory
D52 - Incomplete Markets

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