Characterizations of Smooth Ambiguity Based on Continuous and Discrete Data

Characterizations of Smooth Ambiguity Based on Continuous and Discrete Data

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Article ID: iaor2017620
Volume: 42
Issue: 1
Start Page Number: 167
End Page Number: 178
Publication Date: Jan 2017
Journal: Mathematics of Operations Research
Authors: ,
Keywords: simulation, statistics: inference
Abstract:

In the Anscombe‐Aumann setup, we provide conditions for a collection of observations to be consistent with a well‐known class of smooth ambiguity preferences (Klibanoff P, Marinacci M, Mukerji S (2005) A smooth model of decision making under ambiguity. Econometrica 73(6):1849–1892.). Each observation is assumed to take the form of an equivalence between an uncertain act and a certain outcome. We provide three results that describe these conditions for data sets of different cardinality. Our findings uncover surprising links between the smooth ambiguity model and classic mathematical results in complex and functional analysis.

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