EconStor >
University of California (UC) >
UC Davis, Department of Economics >
Working Papers, Department of Economics, UC Davis >

Please use this identifier to cite or link to this item:
Title:Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts PDF Logo
Authors:Zimmer, David M.
Trivedi, Pravin K.
Li, Tong
Cameron, A. Colin
Issue Date:2004
Series/Report no.:Working papers / University of California, Department of Economics 04,3
Abstract: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).
Document Type:Working Paper
Appears in Collections:Working Papers, Department of Economics, UC Davis

Files in This Item:
File Description SizeFormat
04-3.pdf296.89 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.