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PERCEIVED AMBIGUITY AND RELEVANT MEASURES

机译:感知的歧义和相关措施

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摘要

We axiomatize preferences that can be represented by a monotonic aggregation of subjective expected utilities generated by a utility function and some set of i.i.d. probability measures over a product state space, S. For such preferences, we define relevant measures, show that they are treated as if they were the only marginals possibly governing the state space, and connect them with the measures appearing in the aforementioned representation. These results allow us to interpret relevant measures as reflecting part of perceived ambiguity, meaning subjective uncertainty about probabilities over states. Under mild conditions, we show that increases or decreases in ambiguity aversion cannot affect the relevant measures. This property, necessary for the conclusion that these measures reflect only perceived ambiguity, distinguishes the set of relevant measures from the leading alternative in the literature. We apply our findings to a number of well-known models of ambiguity-sensitive preferences. For each model, we identify the set of relevant measures and the implications of comparative ambiguity aversion.
机译:我们将可以由效用函数和一组i.i.d生成的主观预期效用的单调聚合表示的偏好公理化。在产品状态空间S上的概率测度。对于此类首选项,我们定义了相关测度,表明它们被视为好像是唯一可能控制状态空间的边际,并将它们与上述表示形式中出现的测度联系起来。这些结果使我们能够将相关度量解释为反映了感知的模糊性的一部分,这意味着对状态概率的主观不确定性。在温和的条件下,我们表明歧义厌恶的增加或减少不会影响相关措施。结论是这些措施只能反映出模棱两可的结论,因此必须具备这一特性,才能将相关措施与文献中的其他领先措施区分开。我们将我们的发现应用于许多对歧义敏感偏好的著名模型。对于每个模型,我们确定了一组相关度量以及比较歧义厌恶的含义。

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