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Modeling Differences in Counted Outcomes Using Bivariate Copula Models: With Application to Mismeasured Counts Author info | Abstract | Publisher info | Download info | Related research | Statistics Cameron, A. Colin (U of California, Davis)
Li, Tong (U of California, Davis)
Trivedi, Pravin K. (Indiana U)
Zimmer, David M. (Indiana U)
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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 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).
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Paper provided by University of California at Davis, Department of Economics in its series Working Papers with number
04-3.
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Date of creation: Apr 2004Date of revision:
Handle: RePEc:ecl:ucdeco:04-3Contact details of provider: Postal: One Shields Ave., Davis, CA 95616-8578 Phone: (530) 752-0741 Fax: (530) 752-9382 Email: Web page: http://www.econ.ucdavis.edu/working_search.cfm More information through EDIRC
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Deb, Partha & Trivedi, Pravin K, 1997.
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David Zimmer, 2008.
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Fei Liu & David Zimmer, 2006.
"The Effect of Switching Private Insurance Plans on Health Care Utilization ,"
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Berkeley Electronic Press, vol. 5(1), pages 1566-1566.
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