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dc.contributor.authorHommes, Cars
dc.contributor.authorLux, Thomas
dc.date.accessioned2013-07-17T07:50:09Z
dc.date.available2013-07-17T07:50:09Z
dc.date.issued2013
dc.identifier.issn1365-1005
dc.identifier.issn1469-8056
dc.identifier.urihttp://hdl.handle.net/10234/70923
dc.description.abstractModels with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning-to-forecast laboratory experiments with human subjects (Hommes et al. 2007), simultaneously and across different treatments.ca_CA
dc.description.sponsorShipFinancial support from the EU, through POLHIA Grant 225408 and Complex Markets Grant 516446, is gratefully acknowledged. We are also particularly grateful to Simone Alfarano, Jasmina Arifovic, Reiner Franke, Juliette Rouchier, Jan Tuinstra and Frank Westerhoff for helpful comments and discussions.ca_CA
dc.format.extent43 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isospaca_CA
dc.publisherCambridge University Pressca_CA
dc.relation.isPartOfMacroeconomic Dynamics (2013) 17(2) , pp 373-401ca_CA
dc.relation.isVersionOfKiel Working Paper (2008) núm. 1466, p. 1-43ca_CA
dc.rightsCopyright © Cambridge University Press 2011ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectLearningca_CA
dc.subjectHeterogeneous Expectationsca_CA
dc.subjectGenetic Algorithmsca_CA
dc.subjectExperimental Economicsca_CA
dc.titleIndividual Expectations and Aggregate Behavior in Learning-to-Forecast Experimentsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1017/S1365100511000162
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8852431ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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