Resource title

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

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Resource description

This 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).

Resource author

David M. Zimmer, Pravin K. Trivedi, Tong Li, A. Colin Cameron

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Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/23211

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Adapt according to the presented license agreement and reference the original author.