Nonparametric Identification of a Time-Varying Frailty Model

COHERE Discussion Papers, University of Southern Denmark, 2016:6

35 Pages Posted: 8 Feb 2017

Date Written: July 25, 2016

Abstract

In duration analysis, the Mixed Proportional Hazard model is the most common choice among practitioners for the specification of the underlying hazard rate. One major drawback of this model is that the value of the frailty term (i.e. unobserved factors) is time-invariant. This paper introduces a new model, the Mixed Random Hazard (MRH) model, which allows the frailty term to be time-varying. We provide sufficient conditions under which the new model is nonparametrically identified. Moreover, a theoretical framework is proposed for testing whether the true model is MRH. We conclude this paper with a discussion of how the arguments for the univariate MRH model can be extended to various multivariate problems.

Keywords: competing risks model, duration analysis, mixed random hazard, time-varying frailty

JEL Classification: C12, C31, C41

Suggested Citation

Effraimidis, Georgios, Nonparametric Identification of a Time-Varying Frailty Model (July 25, 2016). COHERE Discussion Papers, University of Southern Denmark, 2016:6. Available at SSRN: https://ssrn.com/abstract=2913468 or http://dx.doi.org/10.2139/ssrn.2913468

Georgios Effraimidis (Contact Author)

Qualcomm, Inc. ( email )

5775 Morehouse Dr
San Diego, CA 92121
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
22
Abstract Views
168
PlumX Metrics