讲座题目：Procedural Expected Utility 程序化期望效用

主讲人：张木   密歇根大学

讲座时间：2023年6月9日14:00

讲座地点：经管院C366

线上：腾讯会议485-541-684

讲座内容摘要：

This paper studies procedures a decision maker adopts to evaluate two-dimensional risk. She might either follow the standard expected utility model and treat risk in different dimensions as a whole, or apply simplification heuristics to evaluate risk in different dimensions in isolation or sequentially. We axiomatize those procedures by maintaining the Independence axiom within each dimension and relaxing it across dimensions. Through applications in different choice domains, we demonstrate that our procedures can (i) explain experimental evidence of violations of stochastic dominance without inducing such violations in the absence of risk, (ii) separate time and risk preferences without assuming a preference for early resolution of uncertainty, and (iii) accommodate risk aversion over time lotteries without violating stochastic impatience.

这篇论文研究决策者在评估二维风险时所采用的程序。可以遵循标准的期望效用模型，将不同维度的风险视为一个整体，或者应用简化启发式方法来独立或顺序地评估不同维度的风险。我们通过在每个维度内保持独立公理并在维度间放宽该公理来对这些程序进行公理化。我们讨论了这些程序在不同领域中的应用。

主讲人个人信息

张木，密歇根大学，经济学助理教授。本科于2016年毕业于清华大学，并于2022年获得普林斯顿大学经济学博士学位。研究领域为微观经济理论，聚焦于决策理论和行为经济学。曾在经济学国际期刊上发表论文数篇，其中包括Journal of Economic Theory和Journal of Economic Behavior and Organization。