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Temporal resolution of uncertainty and recursive non-expected utility models

机译:时间不确定性和递归非预期效用模型的时间分辨

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摘要

Kreps and Porteus' (1978) recursive expected utility model allows an agent to care intrinsically about the timing of the resolution of uncertainty. For example, an anxious agent may prefer early resolution while a hopeful agent may prefer late. Recursive expected utility achieves this flexibility by relaxing the reduction of compound lottery axiom for temporal lotteries. The model remains tractable thanks to recursivity: preferences today are built up from preferences tomorrow that do not themselves depend on unrealized contingencies. In addition to recursivity, Kreps and Porteus assumed that preferences over the lotteries within each stage satisfy the standard independence axiom. Recursive non-expected utility models keep the tractability of Kreps and Porteus' analysis while allowing both for preferences about the timing of resolution of uncertainty, and for violations of independence. That is, in evaluating lotteries at each stage, recursive non-expected utility models replace independence by some weaker axiom.
机译:Kreps和Porteus(1978)的递归预期效用模型使代理能够本质上关心不确定性解决的时机。例如,焦虑的代理人可能更喜欢早期解决,而希望的代理人可能更喜欢迟到。递归的期望效用通过放宽临时彩票的复合彩票公理的减少来实现这种灵活性。由于具有递归性,该模型仍然易于处理:今天的偏好是从明天的偏好建立的,而这些偏好本身并不取决于未实现的意外情况。除了递归性之外,Kreps和Porteus还假定每个阶段中对彩票的偏好都满足标准独立性公理。递归非预期效用模型保留了Kreps和Porteus分析的易处理性,同时允许优先考虑不确定性解决的时机和独立性。也就是说,在每个阶段评估彩票时,递归的非预期效用模型都会用一些较弱的公理代替独立性。

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