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

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dc.contributor.author Lavergne, Pascal
dc.contributor.author Thomas, A.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2009-12-23T12:00:41Z
dc.date.available 2009-12-23T12:00:41Z
dc.date.issued 1997-09
dc.identifier.uri http://hdl.handle.net/10016/6221
dc.description.abstract We 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.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 97-77-28
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Semiparametric estimation
dc.subject.other specification testing
dc.subject.other models of adverse selection
dc.subject.other environmental regulation
dc.title Semiparametric estimation and testing in models of adverse selection, with an aplication to environmental regulation
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
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