报告题目：Uncovering correlation sensitivity in decision making under risk

报告所属学科：应用经济学

报告人：郑家昆（中国人民大学）

报告时间：2023年5月25日 10:00-13:30

报告地点：经管院702会议室

报告摘要：

We study experimentally correlation sensitivity in decision making under risk. We show that decision makers, within a general framework of correlation-sensitive preferences, can be classified into three categories based on their sensitivity to within-state payoff differences: increasingly or decreasingly sensitive, or correlation insensitive. We propose a novel experimental task that allows to classify experimental subjects according to this categorization. In a series of experiments, we find that aggregate choices display moderate decreasing sensitivity to within-state payoff differences, thereby rejecting the opposite counterpart imposed in regret and salience theory. Individual level analysis suggests that the aggregate findings are driven by a minority who consistently exhibit this behavior even when it violates first-order stochastic dominance. Finally, we disentangle between correlation sensitivity due to deliberate within-state comparisons and incidental payoff comparisons due to the framing of decision problems, and find that both channels produce correlation sensitivity, with deliberate comparisons being somewhat more important.

报告人简介：

郑家昆，博士毕业于法国图卢兹经济学院，牛津大学纳菲尔德学院青年访问学者，国家优秀自费留学生奖学金获得者，现任中国人民大学财政金融学院助理教授、中国人民大学杰出青年学者，风险与公共物品研究中心 (Center for Research on Uncertainty and Commons, CRUC)联合创始人。他的研究兴趣包括行为经济学和决策理论及其在保险、资产定价、环境和健康领域中的应用。他近期在这些领域的研究发表在Journal of Health Economics, Journal of Economic Behavior and Organization, Insurance: Mathematics and Economics等。