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Fragility of Information Cascades: An Experimental Study using Elicited Beliefs

机译:信息级联的易碎性:一项基于狂热信念的实验研究

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This paper examines the occurrence and fragility of information cascades in laboratory ex-periments. One group of low informed subjects make predictions in sequence. In a matched pairs design, another set of high informed subjects observe the decisions of the ?rst group and make predictions. According to the theory of information cascades (Bikhchandani, Hirshleifer, and Welch, 1992), if initial decisions coincide, an information cascade should occur: it is rational for subsequent players with low quality information to follow the observed pattern regardless of their private information. However, an information cascade should be fragile: it is always rational for subsequent players with high quality information to follow their private information. In line with existing experiments on information cascades, we ?nd some evidence that low informed subjects follow the herd when it is rational, and this herding behavior occurs more frequently if there is a pronounced imbalance. The main ?nding of this paper is that information cascades are not fragile. We ?nd strong evidence that highly informed subjects follow the herd regardless of their private information. In accordance with those observations we show, by explicitly eliciting subjects’ beliefs about the state, that beliefs are not constant in the number of previous decisions that coincide, whether or not an information cascade already occurred. Subjects’ behavior can be understood with a statistical model that allows for the possibility of errors in earlier decisions.
机译:本文研究了实验室实验中信息级联的发生和脆弱性。一组知情程度低的受试者按顺序进行预测。在配对设计中,另一组知识渊博的受试者观察第一组的决策并做出预测。根据信息级联理论(Bikhchandani,Hirshleifer和Welch,1992),如果最初的决定相吻合,则应该发生信息级联:低质量信息的后续参与者遵循观察到的模式是合理的,而不管他们的私人信息如何。但是,信息级联应该是脆弱的:拥有高质量信息的后续参与者遵循其私人信息始终是合理的。与现有的有关信息级联的实验一致,我们发现一些证据表明,知情程度低的受试者在合理的情况下会跟随羊群,并且如果存在明显的失衡,这种羊群行为会更频繁地发生。本文的主要发现是信息级联并不脆弱。我们发现有力的证据表明,无论他们的私人信息如何,知识渊博的受试者都会追随牛群。根据这些观察结果,我们通过明确地引起受试者对国家的信念,可以证明,无论信息是否已经发生,这些信念在之前一致决定的数量上都不是恒定的。可以使用统计模型来理解受试者的行为,该模型允许在较早的决策中出现错误。

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