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How wrong could it be?

We have written previously about the importance of the independence assumption when modelling mortality for annuities and pensions. In a recent presentation to the Royal Statistical Society I showed the audience how life insurers deduplicate their annuity data and how they use postcodes to identify socio-economic status.
Written by: Stephen RichardsTags: Filter information matrix by tag: deduplication, Filter information matrix by tag: mortality, Filter information matrix by tag: annuities, Filter information matrix by tag: geodemographics, Filter information matrix by tag: Mosaic

Playing with scales

Mortality rates increase exponentially with age.  This can make comparisons difficult, as shown in Figure 1 below, which shows the period mortality rates for males in England and Wales at ten-year intervals. 
Written by: Stephen RichardsTags: Filter information matrix by tag: mortality, Filter information matrix by tag: scale

Seasonal patterns in mortality

During an analysis of a large annuity portfolio we took some time out to look at the pattern of mortality by season as well as the overall time trend. We fitted a model for age, gender and season, where the definition of season is that used by the ONS: each season covers three months, and where winter covers December, January and February.
Written by: Stephen RichardsTags: Filter information matrix by tag: mortality, Filter information matrix by tag: annuities, Filter information matrix by tag: season, Filter information matrix by tag: time-trend