2013
DOI: 10.1093/restud/rds046
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Overconfidence and Social Signalling

Abstract: 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'… Show more

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Cited by 195 publications
(167 citation statements)
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References 33 publications
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“…Burks et al (2013) find a correlation between overconfidence on a cognitive test and a measure of social dominance in a sample of trainee truck drivers. They argue that the data are consistent with overconfidence as a social bias.…”
Section: Literature and Conceptsmentioning
confidence: 83%
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“…Burks et al (2013) find a correlation between overconfidence on a cognitive test and a measure of social dominance in a sample of trainee truck drivers. They argue that the data are consistent with overconfidence as a social bias.…”
Section: Literature and Conceptsmentioning
confidence: 83%
“…Thoma (2015) demonstrates that when others can observe their degree of overconfidence about task performance, men strategically deflate confidence in order to appear more likable. Note that Burks et al (2013) measure private beliefs, but don't vary the strategic context, whereas Charness et al (2013), Ewers and Zimmermann (2015) and Thoma (2015) vary the context of the interaction, but don't measure private beliefs. 1 Our study does both.…”
Section: Literature and Conceptsmentioning
confidence: 99%
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“…10 Each agent receives two tokens for every arithmetic problem she solves correctly. 11 Principals receive no payment for the real task. When adding the sets of numbers, however, subjects do not know their role and thus neither whether they will be paid for the real task.…”
Section: Experimental Designmentioning
confidence: 99%
“…Here we only mention that we cannot reject rational Bayesian updating using the Burks et al (2013) allocation function. This may reflect our having only two intervals, either above or below the median.…”
Section: 1mentioning
confidence: 97%