AbstractEconometric analysis of discrete choice has made considerable use of random utility models to interpret'/> More on random utility models with bounded ambiguity
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More on random utility models with bounded ambiguity

机译：更多关于有限歧义的随机效用模型

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AbstractEconometric analysis of discrete choice has made considerable use of random utility models to interpret observed choice behavior. Much empirical research concerns choice problems in which persons act with partial knowledge of the utilities of the feasible actions. Economists use random expected utility models to analyze such choice problems. A common practice is to specify fully the expectations that persons hold, in which case choice analysis reduces to inference on preferences alone. However, the expectations assumptions made in empirical research rarely have much foundation. To enable more credible research, this paper considers inference when one specifies a set of expectations that decision makers may plausibly hold. I first pose the idea in abstraction and then specialize to binary response with linear utilities, where the analysis is particularly straightforward. I initially assume that decision makers possess unique subjective probability distributions on the states of nature and make choices that maximize expected utility. I later consider the possibility that persons place only partial probabilistic structure on the states of nature and make undominated choices.
机译： Abstract 离散选择的计量经济学分析已大量使用随机效用模型来解释观察到的结果。选择行为。许多实证研究都涉及选择问题，在这些问题中，人们对可行行动的效用有部分了解。经济学家使用随机预期效用模型来分析此类选择问题。一种常见的做法是充分说明人们所持有的期望，在这种情况下，选择分析会简化为仅凭偏好进行推断。但是，实证研究中的期望假设很少有足够的基础。为了进行更可靠的研究，本文将在推理者指定一组可能由决策者合理持有的期望时进行推理。首先，我将这种想法抽象化，然后专门研究线性实用程序的二进制响应，其中分析特别简单。我最初假设决策者在自然状态下拥有独特的主观概率分布，并做出使预期效用最大化的选择。后来我考虑了人们仅将部分概率结构放在自然状态上并做出无选择的选择的可能性。

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