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Informational matching

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorRendón, Silvio
dc.date.accessioned2006-11-09T11:10:33Z
dc.date.available2006-11-09T11:10:33Z
dc.date.issued2002-05
dc.description.abstractThis paper analyzes the problem of matching heterogenous agents in a Bayesian learning model. One agent gives a noisy signal to another agent, who is responsible for learning. If production has a strong informational component, a phase of cross-matching occurs, so that agents of low knowledge catch up with those of higher one. It is shown that (i) a greater informational component in production makes cross-matching more likely; (ii) as the new technology is mastered, production becomes relatively more physical and less informational; (iii) a greater dispersion of the ability to learn and transfer information makes self-matching more likely; and (iv) self-matching leads to more self-matching, whereas croos-matching can make less productive agents overtake more productive ones.
dc.format.extent680232 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.issn2340-5031
dc.identifier.repecwe022105
dc.identifier.urihttps://hdl.handle.net/10016/268
dc.language.isoeng
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working Paper. Economics
dc.relation.ispartofseries2002-05
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEconomía
dc.titleInformational matching
dc.typeworking paper*
dspace.entity.typePublication
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