Apparent overconfidence

Benoit, Jean Pierre; Dubra, Juan

dc.rights.license	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.contributor.author	Benoit, Jean Pierre
dc.contributor.author	Dubra, Juan
dc.date.accessioned	2022-03-21T19:08:06Z
dc.date.available	2022-03-21T19:08:06Z
dc.date.issued	2011	es
dc.identifier.uri	https://hdl.handle.net/20.500.12806/1316
dc.description.abstract	It is common for a majority of people to rank themselves as better than average on simple tasks and worse than average on difficult tasks. The literature takes for granted that this apparent misconfidence is problematic. We argue, however, that this behaviour is consistent with purely rational Bayesian updaters. In fact, better-than average data by itself cannot be used to show overconfidence; we indicate which type of data can be used. Our theory is consistent with empirical patterns found in the literature.	es
dc.format.extent	28 p.	es
dc.format.mimetype	application/pdf	es
dc.language	eng	es
dc.publisher	Universidad de Montevideo, Facultad de Ciencias Empresariales y Economía, Departamento de Economía	es
dc.relation.ispartof	Documentos de trabajo del Departamento de Economía; UM_CEE_2011_06	es
dc.rights	Abierto	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Overconfidence	es
dc.subject	Experimental Economics	es
dc.subject	Irrationality	es
dc.subject	Signalling Models	es
dc.title	Apparent overconfidence	es
dc.type	Documento de trabajo	es
dc.contributor.filiacion	Benoit, Jean Pierre. London Buisness School	es
dc.contributor.filiacion	Dubra, Juan. Universidad de Montevideo, Uruguay	es
dc.type.version	Publicada	es

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