Mortality modelling for the purposes of demographic forecasting and actuarial pricing is generally done at an aggregate level using national data. Modelling at this level fails to capture the variation in mortality within country and potentially leads to a mis-specification of mortality...

Stochastic modeling of mortality rates focuses on fitting linear models to logarithmically adjusted mortality data from the middle or late ages. Whilst this modeling enables insurers to project mortality rates and hence price mortality products it does not provide good fit for younger aged...

Changes in mortality rates have an impact on the life insurance industry, the financial sector (as a significant proportion of the financial markets is driven by pension funds), the governmental agencies, and the decision and policy makers. Thus, the pricing of financial, pension and insurance...

Socio-economic status is commonly conceptualised as the social standing or well-being of an individual or society. Higher socio-economic status has long been identified as a contributing factor for mortality improvement. This paper studies the impact of macroeconomic fluctuations (having GDP as...

The health of a population is affected by social, environmental, and economic factors. Pension providers and consultants, insurance companies, government agencies and individuals in the developed world have a vested interest in understanding how the economic growth will impact on the life...