講座：Social Learning in Groups: An Experimental Study
題 目：Social Learning in Groups: An Experimental Study
嘉 賓：Marina Agranov, Professor, California Institute of Technology
主持人：李淑雯 助理教授 上海交通大學安泰經濟與管理學院經濟系
時 間：2020年9月30日（周三） 10:00-11:30
We conduct a series of laboratory experiments to study how groups aggregate information in settings in which group members repeatedly observe both private information about the state and either other members' actions or their actions and signals. Group members share common interests in guessing the state. In addition to varying the information structure, we also vary the group size and study whether large groups are better at aggregating information than smaller groups. The results of the experiments show that large groups do better than small groups when group members observe each other's private information in addition to each other's actions. However, when only the actions of peers are public, large groups fail to perform better than smaller ones. We explore the driving force of this failure and compare what happens when private information of others' is available to group members when they make their choices.
Dr. Marina Agranov started studying Economics at Tel Aviv University, where she completed the MA degree. She obtained her PhD in Economics in 2010 in New York University working closely with Andrew Schotter and Alessandro Lizzeri. After graduating, she received the job at Caltech in 2010 and this is where she is working until now. Her primary interests lie in the intersection of Experimental Economics, Microeconomic Theory and Political Economics. Most of her papers utilize experimental methods to test various theories of behavior (both individual behavior and group interactions) and ask how institutions and information structures affect the dynamics of these interactions and outcomes that emerge.