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Effects of marginal specifications on copula estimation

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Azam, Kazim (2014) Effects of marginal specifications on copula estimation. Working Paper. Coventry: University of Warwick. Department of Economics. Warwick economics research papers series (TWERPS), Volume 2014 (Number 1053). (Unpublished)

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Abstract

This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-continuous random variables. The existing literature has proposed various methods to deal with mixed marginals: this paper is the first to quantify their effect in a unified Bayesian setting. Using order statistics based information for the marginals, as proposed by Ho (2007), we find that in small samples the bias and mean square error are at least half in size as compared to those
of empirical or misspecified marginal distributions. The difference in the bias and mean square error enlarges with increasing sample size, especially for low count discrete variables. We employ the order statistics method on firm-level patents data, containing both discrete and continuous random variables, and consistently estimate their correlation.

Item Type: Working or Discussion Paper (Working Paper)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Social Sciences > Economics
Library of Congress Subject Headings (LCSH): Copulas (Mathematical statistics), Marginal distributions
Series Name: Warwick economics research papers series (TWERPS)
Publisher: University of Warwick. Department of Economics
Place of Publication: Coventry
Official Date: August 2014
Dates:
DateEvent
August 2014Available
Volume: Volume 2014
Number: Number 1053
Number of Pages: 20
Status: Not Peer Reviewed
Publication Status: Unpublished
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 28 July 2016
Date of first compliant Open Access: 28 July 2016

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