Bad Temptation

D. Ravid, Kai Steverson
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引用次数: 5

Abstract

We study a static self-control model in which an agent's preference, temptation ranking, and cost of self-control drive her choices among a finite set of options. We show that it is without loss to assume that the agent's temptation ranking is the opposite of her preference. We characterize the model by relaxing the Weak Axiom of Revealed Preference (WARP), and exploit WARP violations to identify the model's parameters.
不好的诱惑
我们研究了一个静态自我控制模型,在这个模型中,agent的偏好、诱惑排序和自我控制的成本驱动她在有限的一组选项中做出选择。我们证明,假设代理人的诱惑排名与她的偏好相反是没有损失的。我们通过放松揭示偏好的弱公理(WARP)来描述模型,并利用WARP违规来识别模型的参数。
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