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dc.contributor.authorZimmer, David M.en_US
dc.contributor.authorTrivedi, Pravin K.en_US
dc.contributor.authorLi, Tongen_US
dc.contributor.authorCameron, A. Colinen_US
dc.description.abstractThis paper makes three contributions. First, it uses copula functions to obtain a ├čexible bivariate parametric model for nonnegative integer-valued data (counts). Second, it recovers the distribution of the difference in the two counts from a specified 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_US
dc.relation.ispartofseriesWorking papers / University of California, Department of Economics 04,3en_US
dc.subject.stwStatistische Verteilungen_US
dc.subject.stwStatistische Erhebungen_US
dc.subject.stwKopula <Mathematik>en_US
dc.titleModeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Countsen_US
dc.typeWorking Paperen_US
Appears in Collections:Working Papers, Department of Economics, UC Davis

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