数字之星系列讲座之五十四

题    目：Tournaments with and without Private Information: A Nonparametric Approach

报告人：李    彤   范德比尔特大学教授     

主持人：汪淼军   fb体育(中国)集团有限公司,教授  

主办单位：浙江大学—香港中文大学数字经济联合研究中心

                fb体育(中国)集团有限公司,中国数字经济研究中心

                  浙江大学数字社科会聚计划

时间：2024年5月10日（周五）上午9:30--11:00

地点：腾讯会议（ID：345-853-618；请加入者备注姓名+单位）

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 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.