Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/23211 
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dc.contributor.authorZimmer, David M.en
dc.contributor.authorTrivedi, Pravin K.en
dc.contributor.authorLi, Tongen
dc.contributor.authorCameron, A. Colinen
dc.date.accessioned2009-01-29T15:50:14Z-
dc.date.available2009-01-29T15:50:14Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10419/23211-
dc.description.abstractThis paper makes three contributions. First, it uses copula functions to obtain a flexible bivariate parametric model for nonnegative integer-valued data (counts). Second, it recovers the distribution of the difference in the two counts from a specifed bivariate count distribution. Third, the methods are applied to counts that are measured with error. Specifically we model the determinants of the difference between the self-reported number of doctor visits (measured with error) and true number of doctor visits (also available in the data used).en
dc.language.isoengen
dc.publisher|aUniversity of California, Department of Economics |cDavis, CAen
dc.relation.ispartofseries|aWorking Paper |x04-3en
dc.subject.ddc330en
dc.subject.stwStatistische Verteilungen
dc.subject.stwStatistische Erhebungen
dc.subject.stwKopula <Mathematik>en
dc.subject.stwBefragungen
dc.titleModeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts-
dc.typeWorking Paperen
dc.identifier.ppn391040782en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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