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首页> 外文期刊>The Review of Economic Studies >Overconfidence and Social Signalling
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Overconfidence and Social Signalling

机译:过度自信和社交信号

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Evidence from both psychology and economics indicates that individuals give statements that appear to overestimate their ability compared to that of others. We test three theories that predict such relative overconfidence. The first theory argues that overconfidence can be generated by Bayesian updating from a common prior and truthful statements if individuals do not know their true type. The second theory suggests that self-image concerns asymmetrically affect the choice to receive new information about one's abilities, and this asymmetry can produce overconfidence. The third theory is that overconfidence is induced by the desire to send positive signals to others about one's own skill; this suggests either a bias in judgement, strategic lying, or both. We formulate this theory precisely. Using a large data set of relative ability judgements about two cognitive tests, we reject the restrictions imposed by the Bayesian model and also reject a key prediction of the self-image models that individuals with optimistic beliefs will be less likely to search for further information about their skill because this information might shatter their self-image. We provide evidence that personality traits strongly affect relative ability judgements in a pattern that is consistent with the third theory of social signalling. Our results together suggest that overconfidence in statements is more likely to be induced by social concerns than by either of the other two factors.
机译:来自心理学和经济学的证据表明,与他人相比,个人做出的陈述似乎高估了他们的能力。我们测试了三种预测这种相对过度自信的理论。第一种理论认为,如果个人不知道自己的真实类型,则可以通过贝叶斯从相同的先验和真实陈述中进行更新来产生过度自信。第二种理论表明,对自我形象的关注不对称地影响了关于接收有关自己能力的新信息的选择,而这种不对称会产生过度自信。第三种理论是,过度自信是由向他人发送关于自己的技能的积极信号的欲望引起的。这表明在判断上存在偏见,在战略上说谎或两者兼有。我们精确地阐述了这一理论。使用关于两个认知测试的相对能力判断的大数据集,我们拒绝了贝叶斯模型施加的限制,并且也拒绝了对自我形象模型的关键预测,即乐观信念的人不太可能搜索关于他们的技能,因为这些信息可能会破坏他们的自我形象。我们提供的证据表明,人格特质以与第三种社会信号理论相一致的方式强烈影响相对能力的判断。我们的研究结果表明,对陈述的过度自信更可能是由社会关注引起的,而不是其他两个因素中的任何一个。

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