测量多变量风险偏好

S. Ebert, Gijs van de Kuilen
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引用次数: 22

摘要

我们衡量风险偏好的决策,涉及多个单一的货币属性。根据理论,多变量风险偏好的相关性厌恶、交叉审慎(余偏性偏好)和交叉节制(余峰度厌恶)决定了单变量风险偏好对属性的协变和相互作用。我们在三个经济领域获得了这些多变量风险偏好的无模型测量,即时间偏好,社会偏好和等待时间偏好。这是对多元风险偏好的第一次系统的实证探索,为经济模型中关于不平等、劳动、时间偏好、储蓄和保险的假设提供了证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Multivariate Risk Preferences
We measure risk preferences for decisions that involve more than a single monetary attribute. According to theory, the multivariate risk preferences correlation aversion, cross-prudence (coskewness preference) and cross-temperance (cokurtosis aversion) determine how univariate risk preferences over attributes co-vary and interact. We obtain model-free measurements of these multivariate risk preferences in three economic domains, viz., time preferences, social preferences, and preferences over waiting time. This first systematic empirical exploration of multivariate risk preferences provides evidence for assumptions made in economic models on inequality, labor, time preferences, saving, and insurance.
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