@techreport{Zimmer2004Modeling,
abstract = {This paper makes three contributions. First, it uses copula functions to obtain
a \ss{}exible 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).},
author = {David M. Zimmer and Pravin K. Trivedi and Tong Li and A. Colin Cameron},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {330; Statistische Verteilung; Statistische Erhebung; Kopula <Mathematik>; Befragung},
language = {eng},
number = {04,3},
title = {Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts},
type = {Working papers / University of California, Department of Economics},
url = {http://hdl.handle.net/10419/23211},
year = {2004}
}
