日時: 2024年7月19日(金)13:30 ~ 15:00
場所: 大阪大学 豊中キャンパス 国際公共政策研究科(OSIPP)棟 2階 講義シアター(会場が変更になりました)
申込: yuri-kitabayashi@iss.u-tokyo.ac.jp(東京大学中林研究室 北林様宛)
※返信が開催当日になる場合もあります。
Presenter:
石田潤一郎氏(大阪大学 社会経済研究所)
Title: “Optimal Feedback Dynamics Against Free-Riding in Collective Experimentation“
(with Chia-Hui Chen, Hulya Eraslan and Takuro Yamashita)
We consider a dynamic model in which a principal decides what information to release about a product of unknown quality (e.g., a vaccine) to incentivize agents to experiment with the product. Assuming that the agents are long-lived and forward-looking, their incentive to wait and see other agents’ experiences poses a significant obstacle to social learning. We show that the optimal feedback mechanism to mitigate information free-riding takes a strikingly simple form: the principal recommends adoption as long as she observes no bad news, but only with some probability; once she does not recommend at some point, she stays silent forever after that. Our analysis suggests the optimality of premature termination, which in turn implies that: (i) false positives (termination in the good state) are more acceptable than false negatives (continuation in the bad state); (ii) overly cautious mechanisms that are biased toward termination can be welfare-enhancing. Abstract: Junichiro Ishida
- 共催:東京大学社会科学研究所 & IPP研究会
- 問合せ:東京大学社会科学研究所 中林真幸研究室