期刊
AMERICAN ECONOMIC JOURNAL-MICROECONOMICS
卷 2, 期 1, 页码 112-149出版社
AMER ECONOMIC ASSOC
DOI: 10.1257/mic.2.1.112
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资金
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [0961481] Funding Source: National Science Foundation
We study learning in a setting where agents receive independent noisy signals about the true value of a variable and then communicate in a network. They naively update belief's by repeatedly taking weighted averages of neighbors' opinions. We show that all opinions in a large society converge to the truth if and only if the influence of the most influential agent vanishes as the society grows. We also identify obstructions to this, including prominent groups, and provide structural conditions on the network ensuring efficient learning. Whether agents converge to the truth is unrelated to how quickly consensus is approached. (JEL D83, D85, Z13)
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