论文标题
不确定性下的主观复杂性
Subjective Complexity Under Uncertainty
论文作者
论文摘要
在不确定的行为中选择问题的复杂性是许多环境的显着特征，在这些环境中，观察到与预期效用理论不同的环境。我提出并公理化了一种在不确定性下选择模型的模型，在这种不确定性下，可以根据主观复杂性的量度来衡量ACT的分区大小。我得出了不完整的简单范围偏好的表示，在决策者的角度，从决策者的角度进行复杂的行为是由与态度优势相关的简单行为所包围的。关键公理是由从有限数据中学习的模型激励的。然后，我考虑以简单范围偏好的“谨慎完成”为特征的选择行为，并讨论该模型与歧义厌恶模型之间的关系。我开发了一般的比较静态结果，并探讨了投资组合选择，合同和保险选择的申请。
Complexity of the problem of choosing among uncertain acts is a salient feature of many of the environments in which departures from expected utility theory are observed. I propose and axiomatize a model of choice under uncertainty in which the size of the partition with respect to which an act is measurable arises endogenously as a measure of subjective complexity. I derive a representation of incomplete Simple Bounds preferences in which acts that are complex from the perspective of the decision maker are bracketed by simple acts to which they are related by statewise dominance. The key axioms are motivated by a model of learning from limited data. I then consider choice behavior characterized by a "cautious completion" of Simple Bounds preferences, and discuss the relationship between this model and models of ambiguity aversion. I develop general comparative statics results, and explore applications to portfolio choice, contracting, and insurance choice.
