【主 题】Decision Making Under Multidimensional Uncertainty
【报告人】柯绍韡 (教授,中欧国际商学院)
【时 间】2023年12月12日周二14:00-15:30
【地 点】经济学院701室
【语 言】英文
【摘 要】Choice alternatives are often multidimensional and risky, but how to evaluate them is unclear. Three approaches are in sharp contrast: One aggregates all dimensions and then evaluates risk, one works reversely, and one evaluates each dimension and the associated risk recursively following an exogenous linear order on dimensions. We characterize a model that nests them as special cases. The decision maker's preference reveals how she brackets and orders the dimensions, based on which she evaluates risk recursively. Using our framework, we derive a model with generalized brackets and a recursive model with a subjective weak order on dimensions.
【报告人简介】柯绍韡,教授,中欧国际商学院。在2023年加入中欧国际商学院之前,柯绍韡在University of Michigan获得了经济学副教授终身教职。柯绍韡毕业于Princeton University,获得经济学博士和硕士学位。柯绍韡教授的研究领域重点是Decision Theory、Behavioral Economics和Welfare Economics。他近期的研究致力于将决策理论、行为经济学与机器学习结合起来。柯教授的研究成果见诸于国际知名学术期刊,如Econometrica、Management Science、Journal of Economic Theory和Theoretical Economics。
