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Public Disagreement

机译:公众分歧

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摘要

We develop a model of deliberation under heterogeneous beliefs and incomplete information, and use it to explore questions concerning the aggregation of distributed information and the consequences of social integration. We show that when priors are correlated, all private information is eventually aggregated and public beliefs are identical to those arising under observable priors. When priors are independently distributed, however, some private information is never revealed, and communication breaks down entirely in large groups. Interpreting integration in terms of the observability of priors, we show how increases in social integration lead to less divergent public beliefs on average.
机译:我们建立了一种在异类信念和不完整信息下的审议模型,并用它来探讨有关分布式信息聚合和社会融合后果的问题。我们显示,当先验关联时,所有私人信息最终都会汇总在一起,并且公共信念与可观察先验下产生的信念相同。但是,当先验被独立分发时,某些私人信息将永远不会被泄露,并且通信将大范围地中断。用先验的可观察性解释融合,我们展示了社会融合的增加如何平均地减少了公众的分歧。

著录项

  • 来源
    《American economic journal》 |2012年第3期|p.57-95|共39页
  • 作者

    Rajiv Sethi; Muhamet Yildiz;

  • 作者单位

    Department of Economics, Barnard College, Columbia University, 3009 Broadway, New York, NY 10027, and the Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501;

    Department of Economics, Massachusetts Institute of Technology, 50 Memorial Dr, Cambridge, MA 02142;

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  • 正文语种 eng
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  • 入库时间 2022-08-17 23:13:21

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