Compensating for Information Externalities in Technology Diffusion Models
讨论新技术采纳中信息外部性的作用，非采纳者通过观察采纳者获取信息。构建贝叶斯聚合扩散模型，求解社会规划者问题，发现信息外部性未获补偿可能导致采纳不足，且规划者补偿能力有限。
Abstract The role of information in the adoption of new technologies is discussed, focusing on the role of information externalities when nonadopters observe adopters in order to gather information. A Bayesian model of aggregate adoption is derived and the social planner's relationship to the model is discussed. The fact that the information externality is uncompensated suggests that too little adoption may occur. The social planner's problem is solved numerically, demonstrating rapid learning on the part of adopters and a limited ability for the social planner to compensate for the information externality.