【3月7日】 Does Haze Cloud Decision Making? A Natural Laboratory Experiment

【大中小】【打印】【关闭窗口】来源：本站原创作者：统计与数学学院编辑：发布时间：2018-03-06

主题： Does Haze Cloud Decision Making? A Natural Laboratory Experiment

主讲人：Chew Soo Hong 新加坡国立大学经济系教授

主持人：石磊统计与数学学院院长

时间：2018年3月7日（周三）上午10:00-11:00

地点：北院卓远楼305

主办单位：统计与数学学院

摘要：We investigated the causal effect of increased level of haze proxied by PM2.5 directly on decision making via a natural laboratory experiment. We found an increase in aversion to risk and ambiguity over gains and in risk tolerance over losses together with greater impatience when discounting over a remote comparison. In other-regarding behavior, subjects became less prosocial: giving less, contributing and reciprocating less, and demanding more. We also found a decline in strategic thinking in terms of behavior in a second-price auction and a p-beauty game. Our results underpin several reported findings relating haze and economic outcomes in the literature.

Chew Soo Hong简介：Chew Soo Hong (周恕弘) is professor and provost's chair at the National University of Singapore (NUS). He received his Ph.D. in interdisciplinary studies – mathematics, economics, management science – from the University of British Columbia and has previously taught at the Hong Kong University of Science and Technology, University of California, Irvine, Johns Hopkins University and University of Arizona. Chew is co-director of NUS' lab for Behavioral x Biological Economics and the Social Sciences which aims to bring together genomics, neuroscience, decision theory, and behavioural and experimental economics to seek a deeper understanding of decision making at the neural and molecular levels. He is among the pioneers in axiomatic non-expected utility models and is a fellow of the Econometric Society which awarded him the Leonard J. Savage thesis prize. Chew has published in well-regarded journals in economics such as Econometrica, Review of Economic Studies, Journal of Economic Theory as well as biology-oriented ones including PNAS, PRSB, Neuron, and Neuroimage.