Commonality of information and commonality of beliefs

• 成果类型: Article
• 署名作者: Awaya, Yu; Krishna, Vijay
• 署名单位: University of Rochester; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
• 刊物名称: THEORETICAL ECONOMICS
• ISSN/ISSBN: 1933-6837
• DOI: 10.3982/TE6256
• 发表日期: 2025
• 关键词: robustness

摘要

A group of agents with a common prior receive informative signals about an unknown state repeatedly over time. If these signals were public, agents' beliefs would be identical and commonly known. This suggests that if signals were private, then the more correlated they are, the greater is the commonality of beliefs. We show that, in fact, the opposite may be true. In the long run, conditionally independent signals may achieve greater commonality of beliefs than correlated signals.