Abstract
The forecasting of the future mortality of the very old presents additional challenges since data quality can be poor at such ages. We consider a two-factor model for stochastic mortality, proposed by Cairns, Blake and Dowd, which is particularly well suited to forecasting at very high ages. We consider an extension to their model which improves fit and also allows forecasting at these high ages. We illustrate our methods with data from the Continuous Mortality Investigation.
Keywords: Forecasting, very high ages, mortality, smoothing.
Volume
Vol. 41, No. 2
Page
1-9
Year
2011
Categories
Financial and Statistical Methods
Aggregation Methods
Collective Risk Model
Publications
ASTIN Bulletin