Template-Type: ReDIF-Paper 1.0
Author-Name: A. Colin Cameron
Author-Name-First: A. Colin
Author-Name-Last: Cameron
Author-Name: Tong Li
Author-Name-First: Tong
Author-Name-Last: Li
Author-Name: Pravin K. Trivedi
Author-Name-First: Pravin K.
Author-Name-Last: Trivedi
Author-Name: David M. Zimmer
Author-Name-First: David M.
Author-Name-Last: Zimmer
Author-Workplace-Name: Department of Economics, University of California Davis
Title: Modeling the Differences in Counted Outcomes using  Bivariate Copula Models: with Application to  Mismeasured Counts
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).
Length: 33
File-URL: https://repec.dss.ucdavis.edu/files/4eLYPBxxA4XJte8SLrSVKRDQ/04-3.pdf
File-Format: application/pdf
Number: 109
Classification-JEL: 
KeyWords: 
Creation-Date: 20040720
Handle: RePEc:cda:wpaper:109