Abstract
The purpose of this paper is to identify a workhorse mortality model for the adult age range (i.e., excluding the accident hump and younger ages). It applies the “general procedure” (GP) of Hunt & Blake [(2014), North American Actuarial Journal, 18, 116–138] to identify an age-period model that fits the data well before adding in a cohort effect that captures the residual year-of-birth effects arising in the original age-period model. The resulting model is intended to be suitable for a variety of populations, but economises on the number of period effects in comparison with a full implementation of the GP. We estimate the model using two different iterative maximum likelihood (ML) approaches – one Partial ML and the other Full ML – that avoid the need to specify identifiability constraints.
Original language | English |
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Pages (from-to) | 445-460 |
Number of pages | 16 |
Journal | Annals of Actuarial Science |
Volume | 14 |
Issue number | 2 |
Early online date | 22 Jun 2020 |
DOIs | |
Publication status | Published - Sept 2020 |
Keywords
- CBDX mortality model
- Cairns-Blake-Dowd mortality model
- Mortality rates
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty