Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts

A. Cameron, Tong Li, Pravin Trivedi and David Zimmer

No 109, Working Papers from University of California, Davis, Department of Economics

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).

Pages: 33
Date: 2004-07-20
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Citations: View citations in EconPapers (32)

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Journal Article: Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts (2004)
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