Consensus and Disagreement: Information Aggregation under (not so) Naive Learning
收藏NBER2022-04-01 更新2025-01-04 收录
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https://www.nber.org/papers/w29897
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资源简介：
We explore a model of non-Bayesian information aggregation in networks. Agents non-cooperatively choose among Friedkin-Johnsen type aggregation rules to maximize payoffs. The DeGroot rule is chosen in equilibrium if and only if there is noiseless information transmission, leading to consensus. With
提供机构：
美国国家经济研究局
创建时间：
2022-04-01
