Background Studies of period changes in educational inequalities in mortality have shown
important changes over time. It is unknown whether a birth cohort perspective paints the …

Life expectancy has been increasing sharply around the globe since the second half of the
20th century. Mortality modeling and forecasting have therefore attracted increasing …

The analysis of causal mortality provides rich insight into changes in mortality trends that are
hidden in population-level data. Therefore, we develop and apply a multinomial logistic …

Modelling mortality and longevity risk is critical to assessing risk for insurers issuing
longevity risk products. It has challenged practitioners and academics alike because of first …

All-cause mortality is driven by various types of cause-specific mortality. Projecting all-cause
mortality based on cause-of-death mortality allows one to understand the drivers of the …

Longevity risk is among the most important factors to consider for pricing and risk
management of longevity products. Past improvements in mortality over many years, and the …

Over the last century, the assumption usually made was that causes of death are
independent, although it is well-known that dependancies exist. Recent developments in …

This paper applies cointegration techniques, developed in econometrics to model long-run
relationships, to cause-of-death data. We analyze the five main causes of death across five …

Most of the methods of mortality forecasting have been assessed using performance on
overall mortality, and few studies address the issue of identifying the appropriate forecasting …

Techniques used in practice often differ from tools developed in academia. The lack of
communication that may exist between academia and practice can then have important …