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A Lack-Of-Fit Test With an Application to an Earnings Function for Women
dc.contributor.authorDoran, Howard E.en_US
dc.contributor.authorKmenta, Janen_US
dc.date.accessioned2013-11-14T23:20:34Z
dc.date.available2013-11-14T23:20:34Z
dc.date.issued1984-04en_US
dc.identifier.otherMichU DeptE CenREST RSQE R114.84en_US
dc.identifier.otherJ160en_US
dc.identifier.otherJ310en_US
dc.identifier.otherC510en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/100696
dc.description.abstractThis paper presents a lack-of-fit test of model specification used by experimental statisticians but mostly unknown to econometricians. The test is applicable in situations in which there are replicated observations on the dependent variable. In this paper the test is modified to allow for heteroskedasticity usually encountered when dealing with cross-sectional observations, and applied to an earnings function estimated from a sample survey of Norwegian women.en_US
dc.description.sponsorshipCenter for Research on Economic and Social Theory, Research Seminar in Quantitative Economics, Department of Economics, University of Michiganen_US
dc.relation.ispartofseriesDiscussion Paperen_US
dc.subjectReplicated Observationsen_US
dc.subjectLack-of-Fit Testingen_US
dc.subject.otherEconomics of Genderen_US
dc.subject.otherNon-labor Discriminationen_US
dc.subject.otherWage Level and Structureen_US
dc.subject.otherWage Differentialsen_US
dc.subject.otherModel Construction and Estimationen_US
dc.subject.otherNorwayen_US
dc.titleA Lack-Of-Fit Test With an Application to an Earnings Function for Womenen_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/100696/1/ECON167.pdf
dc.owningcollnameEconomics, Department of - Working Papers Series


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