Title

A copula model for dependent competing risks

Document Type

Journal article

Source Publication

Journal of the Royal Statistical Society. Series C: Applied Statistics

Publication Date

1-1-2010

Volume

59

Issue

2

First Page

359

Last Page

376

Keywords

Archimedean copula, Dependent censoring, Duration of unemployment

Abstract

Many popular estimators for duration models require independent competing risks or independent censoring. In contrast, copula-based estimators are also consistent in the presence of dependent competing risks. We suggest a computationally convenient extension of the copula graphic estimator to a model with more than two dependent competing risks. We analyse the applicability of this estimator by means of simulations and unemployment duration data from Germany. We obtain evidence that our estimator yields nice results if the dependence structure is known and that it is a powerful tool for the assessment of the relevance of (in-)dependence assumptions in applied duration research.

DOI

10.1111/j.1467-9876.2009.00695.x

Print ISSN

00359254

Publisher Statement

Copyright © 2010 Royal Statistical Society. Access to external full text or publisher's version may require subscription.

Full-text Version

Publisher’s Version

Recommended Citation

Lo, S. M. S., & Wilke, R. A. (2011). A copula model for dependent competing risks. Journal of the Royal Statistical Society. Series C: Applied Statistics, 59(2), 359-376. doi:10.1111/j.1467-9876.2009.00695.x

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