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https://hdl.handle.net/10419/23211
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zimmer, David M. | en |
dc.contributor.author | Trivedi, Pravin K. | en |
dc.contributor.author | Li, Tong | en |
dc.contributor.author | Cameron, A. Colin | en |
dc.date.accessioned | 2009-01-29T15:50:14Z | - |
dc.date.available | 2009-01-29T15:50:14Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10419/23211 | - |
dc.description.abstract | This 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.iso | eng | en |
dc.publisher | |aUniversity of California, Department of Economics |cDavis, CA | en |
dc.relation.ispartofseries | |aWorking Paper |x04-3 | en |
dc.subject.ddc | 330 | en |
dc.subject.stw | Statistische Verteilung | en |
dc.subject.stw | Statistische Erhebung | en |
dc.subject.stw | Kopula <Mathematik> | en |
dc.subject.stw | Befragung | en |
dc.title | Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 391040782 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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