Working Paper 32: Proposed graduations of the CMI SAPS mortality experience based on data collected to 30 June 2007 CMI SAPS Mortality Committee
Agenda Introduction Nigel Bodie WP 32 Graduations Andrew Gaches Future Investigations John Ellam Discussion
Introduction Nigel Bodie
WP 32 Graduations Andrew Gaches
Background Earlier working papers Working Paper 31 Consultation to 29 February 2008
Data (1) – Deaths by Type
Data (2) – Deaths by Year
Proposed tables (and names) Data Type Light / Heavy LivesAmounts FemaleMaleFemaleMale Pensioners (excluding dependants) -SPFL03SPML03SPFA03SPMA03 LightSPFA03LightSPMA03Light HeavySPFA03HeavySPMA03Heavy Normal health pensioners -SNFA03SNMA03 LightSNFA03LightSNMA03Light HeavySNFA03HeavySNMA03Heavy Ill-health pensioners -SIFA03SIMA03 Dependants -SWL03SWA03 LightSWA03Light HeavySWA03Heavy
Methodology (1) - Overview Graduation over central ages μ x = GM(r,s) ie Gompertz-Makeham formula with polynomials of order r and s Extension to high and low ages Removal of anomalies Conversion to q x
Methodology (2) – Extension to High Ages
Methodology (3) – Extension to Low Ages Data Type Graduation Range Graduation Range Used Extended Range Extension Method Pensioners (excluding dependants) Normal health pensioners Blend of AxC00, AxN00 and AxS00 to match μ 60 Ill-health pensioners (m) (f) (m) (f) Value of μ 41 (m) Value of μ 42 (f) Dependants GM(0,3) to match graduated μ 45 and μ’ 45 and AFN00 / AFS00 μ 20
Example graduation – SPML03
Comparison of Graduations - Males
Male All Pensioners Amounts
Female Normal Health Amounts
Widow Amounts
Male Pensioner Amounts – Low Age Issue
Male Ill-Health Amounts – Extensions
Male Pensioners – Light vs PCMA00 ...and “Top Band” (top 12.5% of pension amounts)
Female Pensioners – Light vs PCFA00 ...and “Top Band” (top 12.5% of pension amounts)
Widows – Light vs WA00 ...and “Top Band” (top 12.5% of pension amounts)
Period Expectations of Life - Males
Period Expectations of Life - Females
Period Expectations of Life - Widows
Future Investigations John Ellam
Work for 2008 Analysis of further data submissions Evidence of patterns of improvements Industrial classifications
1. Improvement patterns 2. Industrial analysis Covers CY 2000 to 2006 But clustered in centre years, so longer-run trend analysis not necessarily reliable Few schemes where data present for two valuations So heterogeneity within exposed to risk Data on CMI web-site (not industrial) Includes measurement against 92 series Short Cohort for each calendar year of experience
SAPS Males amounts All retirements LH axis – A/E cf PMA92 Short Cohort for calendar year RH axis – Pensions p.a. cancelled by death
SAPS Males amounts Normal retirements LH axis – A/E cf PMA92 Short Cohort for calendar year RH axis – Pensions p.a. cancelled by death
Industrial analysis – number of deaths Ages 50+ Calendar years 2000 to 2006
Discussion
Proposed Tables Range of tables and names? Light vs Top Band? Extension to high and low ages? Use of Tables Which tables will be commonly used? How will they be adjusted? Future Work Any comments?