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Semiparametric estimation methods for nonlinear panel data models and mismeasured dependent variables

dc.contributor.advisorJerry Hausman, Whitney Newey.en_US
dc.contributor.authorAbrevaya, Jasonen_US
dc.date.accessioned2005-08-18T14:31:38Z
dc.date.available2005-08-18T14:31:38Z
dc.date.copyright1996en_US
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/10822
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1996.en_US
dc.descriptionIncludes bibliographical references (p. 90-91).en_US
dc.description.statementofresponsibilityby Jason Abrevaya.en_US
dc.format.extent91 p.en_US
dc.format.extent6663849 bytes
dc.format.extent6663606 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEconomicsen_US
dc.titleSemiparametric estimation methods for nonlinear panel data models and mismeasured dependent variablesen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.identifier.oclc35250796en_US


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