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Randomization and ambiguity perception

Yutaro Akita and Kensei Nakamura

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Abstract: Ambiguity-averse decision makers typically dislike not only the presence of ambiguous events but also their increase, contrary to what standard ambiguity models predict. We axiomatically study such a decision maker. She avoids ex ante randomization over prospects since it only increases the number of relevant ambiguous events without providing a hedge against uncertainty. Our axioms lead to a representation in which the decision maker behaves as if optimizing her ambiguity perception at a cost. We show the uniqueness of the representation, and conduct comparatives of attitudes toward ambiguity and its increase. This identification is not achieved without considering ex ante randomization.

Date: 2025-09, Revised 2026-05
New Economics Papers: this item is included in nep-dcm, nep-mic and nep-upt
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