Collusion with Optimal Information Disclosure*

• 成果类型: Article
• 署名作者: Sugaya, Takuo; Wolitzky, Alexander
• 署名单位: Stanford University; Massachusetts Institute of Technology (MIT)
• 刊物名称: QUARTERLY JOURNAL OF ECONOMICS
• ISSN/ISSBN: 0033-5533
• DOI: 10.1093/qje/qjag020
• 发表日期: 2026
• 关键词: artificial-intelligence; repeated games; price wars; demand; COMMUNICATION; COORDINATION; COMPETITION; oligopoly

摘要

Motivated by recent concerns surrounding the use of third-party pricing algorithms by competing firms, we study repeated Bertrand competition where market demand or the cost of serving the market is observed by an intermediary (or algorithm) that selectively discloses demand or cost information to maximize firms' collusive profit. We show that an upper censorship disclosure policy is optimal, which leads to price rigidity and supra-monopoly prices in some states. Improving the algorithm's accuracy reduces expected consumer surplus whenever it does so under monopoly pricing. When the state is positively correlated over time, the algorithm discloses more information when recent demand was lower or costs were higher. The analysis extends to a generalized model that accommodates product differentiation and capacity constraints. We relate our findings to recent antitrust cases.