Article ID: | iaor20081087 |
Country: | United Kingdom |
Volume: | 25 |
Issue: | 7 |
Start Page Number: | 529 |
End Page Number: | 536 |
Publication Date: | Nov 2006 |
Journal: | International Journal of Forecasting |
Authors: | Lorenzo Emilia Di, Sibillo Marilena, Tessitore Gerarda |
Keywords: | health services, medicine |
In order to avoid ‘frailty’ in deterministic assumptions concerning survival law, in this paper stochastic volatility in the force of mortality is considered. In particular, mortality rates are studied by means of a stochastic model of CIR type. A method for estimating its parameters is presented and an example of application, based on simulations of the process, is shown. Empirical results and comparison with a traditional model illustrate predictive performance and the flexibility of the model.