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Model and Predictive Uncertainty: A Foundation for Smooth Ambiguity Preferences

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  • Tommaso Denti
  • Luciano Pomatto

Abstract

Smooth ambiguity preferences (Klibanoff, Marinacci, and Mukerji (2005)) describe a decision maker who evaluates each act f according to the twofold expectation V(f)=∫Pϕ(∫Ωu(f)dp)dμ(p) defined by a utility function u, an ambiguity index ϕ, and a belief μ over a set P of probabilities. We provide an axiomatic foundation for the representation, taking as a primitive a preference over Anscombe–Aumann acts. We study a special case where P is a subjective statistical model that is point identified, that is, the decision maker believes that the true law p∈P can be recovered empirically. Our main axiom is a joint weakening of Savage's sure‐thing principle and Anscombe–Aumann's mixture independence. In addition, we show that the parameters of the representation can be uniquely recovered from preferences, thereby making operational the separation between ambiguity attitude and perception, a hallmark feature of the smooth ambiguity representation.

Suggested Citation

  • Tommaso Denti & Luciano Pomatto, 2022. "Model and Predictive Uncertainty: A Foundation for Smooth Ambiguity Preferences," Econometrica, Econometric Society, vol. 90(2), pages 551-584, March.
    • Handle: RePEc:wly:emetrp:v:90:y:2022:i:2:p:551-584
    DOI: 10.3982/ECTA18009
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    7. Borie, Dino, 2023. "Maxmin expected utility in Savage's framework," Journal of Economic Theory, Elsevier, vol. 210(C).
    8. Yoram Halevy & David Walker-Jones & Lanny Zrill, 2023. "Difficult Decisions," Working Papers tecipa-753, University of Toronto, Department of Economics.
    9. Eric Ghysels & Jack Morgan, 2024. "On Quantum Ambiguity and Potential Exponential Computational Speed-Ups to Solving Dynamic Asset Pricing Models," Papers 2405.01479, arXiv.org, revised May 2024.

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