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Semiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorLavergne, Pascal
dc.contributor.authorThomas, A.
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned2009-12-23T12:00:41Z
dc.date.available2009-12-23T12:00:41Z
dc.date.issued1997-09
dc.description.abstractWe propose a flexible framework for estimating and testing structural models with adverse selection. This framework uses semiparametric methods for estimating consistently structural parameters of interest and for assesssing the results by testing procedures. We consider a problem of environmental regulation where firms are regulated through contracts. We show how to check parametric assumptions for the abatement cost function and test for neglected adverse selection. We then apply a semiparametric procedure for estimating models with adverse selection, that does not require to specify the distribution of the private information and avoids costly numerical procedures. The proposed framework can prove useful in a wide variety of problems where adverse selection can be present.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10016/6221
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries97-77-28
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.ecienciaEstadística
dc.subject.otherSemiparametric estimation
dc.subject.otherspecification testing
dc.subject.othermodels of adverse selection
dc.subject.otherenvironmental regulation
dc.titleSemiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation
dc.typeworking paper*
dspace.entity.typePublication
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