连续的思考

A. Lizzeri, Leeat Yariv
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引用次数: 15

摘要

我们提出了一个动态的审议模型,在这个模型中,“陪审员”决定每个时期是继续审议(这会产生昂贵的信息),还是停止审议并进行有约束力的投票以做出决定。对于同质陪审团,该模型是对经典Wald(1947)统计假设的顺序检验的重新解释。在异质性陪审团中,用于审议的资源取决于陪审团的偏好。我们表明,当信息收集非常便宜或审议议程足够严格时,决策阶段的投票规则是无关紧要的。此外,更广泛的偏好分布、更严格的审议议程或更一致的决策投票规则,会导致更长的审议时间和更准确的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sequential Deliberation
We present a dynamic model of deliberation in which `jurors' decide every period whether to continue deliberation, which generates costly information, or stop and take a binding vote yielding a decision. For homogeneous juries, the model is a reinterpretation of the classic Wald (1947) sequential testing of statistical hypotheses. In heterogeneous juries, the resources spent on deliberation depend on the jury's preference profile. We show that voting rules at the decision stage are inconsequential when either information collection is very cheap or deliberation agendas are strict enough. Furthermore, wider preference distributions, more stringent deliberation agendas, or more unanimous decision voting rules, lead to greater deliberation times and more accurate decisions.
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