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Testing Ambiguity Models through the Measurement of Probabilities for Gains and Losses

This paper reports on two experiments that test the descriptive validity of ambiguity models using a natural source of uncertainty (the evolution of stock indices) and both gains and losses. We observed violations of probabilistic sophistication, violations that imply a fourfold pattern of ambiguity...

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Published in:American economic journal. Microeconomics 2015-05, Vol.7 (2), p.77-100
Main Authors: Baillon, Aurélien, Bleichrodt, Han
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Language:English
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description This paper reports on two experiments that test the descriptive validity of ambiguity models using a natural source of uncertainty (the evolution of stock indices) and both gains and losses. We observed violations of probabilistic sophistication, violations that imply a fourfold pattern of ambiguity attitudes: ambiguity aversion for likely gains and unlikely losses and ambiguity seeking for unlikely gains and likely losses. Our data are most consistent with prospect theory and, to a lesser extent, α-maxmin expected utility and Choquet expected utility. Models with uniform ambiguity attitudes are inconsistent with most of the observed behavioral patterns.
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identifier ISSN: 1945-7669
ispartof American economic journal. Microeconomics, 2015-05, Vol.7 (2), p.77-100
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language eng
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source EconLit s plnými texty; ABI/INFORM global; JSTOR Archival Journals and Primary Sources Collection; American Economic Association
subjects Ambiguity
Attitudes
Betting
Economic models
Economic statistics
Economic theory
Economic uncertainty
Expected utility
Experiments
Gains
Losses
Microeconomic modeling
Microeconomics
Modeling
Probability
Prospect theory
Stock market indices
Studies
Uncertainty
Validity
Violations
title Testing Ambiguity Models through the Measurement of Probabilities for Gains and Losses
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