Informational matching

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dc.contributor.author Rendón, Silvio
dc.date.accessioned 2006-11-09T11:10:33Z
dc.date.available 2006-11-09T11:10:33Z
dc.date.issued 2002-05
dc.identifier.issn 2340-5031
dc.identifier.uri http://hdl.handle.net/10016/268
dc.description.abstract This 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.extent 680232 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Paper. Economics
dc.relation.ispartofseries 2002-05
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title Informational matching
dc.type workingPaper
dc.subject.eciencia Economía
dc.rights.accessRights openAccess
dc.identifier.repec we022105
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