Mostrar el registro sencillo del ítem

Apparent overconfidence

dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.contributor.authorBenoit, Jean Pierre
dc.contributor.authorDubra, Juan
dc.date.accessioned2022-03-21T19:08:06Z
dc.date.available2022-03-21T19:08:06Z
dc.date.issued2011es
dc.identifier.urihttps://hdl.handle.net/20.500.12806/1316
dc.description.abstractIt 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.extent28 p.es
dc.format.mimetypeapplication/pdfes
dc.languageenges
dc.publisherUniversidad de Montevideo, Facultad de Ciencias Empresariales y Economía, Departamento de Economíaes
dc.relation.ispartofDocumentos de trabajo del Departamento de Economía; UM_CEE_2011_06es
dc.rightsAbiertoes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOverconfidencees
dc.subjectExperimental Economicses
dc.subjectIrrationalityes
dc.subjectSignalling Modelses
dc.titleApparent overconfidencees
dc.typeDocumento de trabajoes
dc.contributor.filiacionBenoit, Jean Pierre. London Buisness Schooles
dc.contributor.filiacionDubra, Juan. Universidad de Montevideo, Uruguayes
dc.type.versionPublicadaes

Ver ítem
Nombre:
working_paper_um_cee_2011_06.pdf
Tamaño:
554.6Kb
Formato:
PDF
[File]license_rdf (805bytes )
Nombre:
license_rdf
Tamaño:
805bytes
Formato:
application/rdf+xml

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional