主题｜Topic：Tournaments with and without Private Information: A Nonparametric Approach
时间｜Time：4月18日（周四）14: 30 -17: 00
地点｜Venue：文澴楼711教室｜Class Room 711，WENHUAN
主办单位｜Organizer：金沙集团3354cm
承办单位｜Operator：北京大学-金沙集团3354cm新结构经济学研究中心
主讲｜Speaker
Zhang Jun博士，悉尼科技大学副教授，2004年获得加拿大圭尔夫大学经济学硕士，2010年获得加拿大女王大学经济学博士。主要研究经济学理论、产业组织、管理运筹学等理论。在“Journal of Economic Theory”、“Games and Economic Behavior”、“Economic Journal” 等多家国际期刊上发表文章。
摘要｜Abstract
We establish nonparametric identification and estimation of the distribution of random shocks for two tournament models with and without private information. We then apply the proposed estimation procedure to analyze a broiler production tournament data set. Our estimation results show that the model without private information fits the data much better than the one with. We also use the structural model estimates to quantify the welfare effects of the tournament prize structure on principal’s profit and social welfare. Our results show that switching from the observed prize structure to an optimal one would lead to a large gain in the principal’s profit but only a modest gain in social welfare, while that based on the poorly fit model predicts a misleading result.
