Description: This is the Chronic Diseases and Longevity Risk: An Application to Type II Diabetes Insurancce Products paper authored by Hsin-Chung Wang, Jack C. Yue and Ting-Chung Chang for Session 6B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: Presented at Living to 100 Symposium, January 2011. This study adapts the idea of regular discount sequence in the bandit problem, and uses it to interpret life expectancy, as well as to develop a model for survival probabilities. Data came from multiple countries.

Description: Presented at the Living to 100 Symposium, January 2011. This study explores increasing life expectancy by examining the basic properties of survival curves. Specifically, the author checks for signs of mortality compression, using a non-traditional approach. The results indicate that human longevity is likely to increase, at least for a while, and longevity risk should be seriously considered in pricing annuity products. Some suggestions for dealing with the longevity risk are also proposed.

Description: In addition to gender, age, period and cohort are three main risk factors considered in constructing mortality models. Other than these factors, it is believed marriage status is related to health and longevity. In this study, we use Taiwan’s marital data for the whole population to evaluate if marriage status can be a preferred criteria. In addition to checking if mortality rates vary for different marital statuses, we want to know if this preferred criteria will be valid in the future. We chose Lee-Carter and age-period-cohort models to model the mortality improvements of various marital statuses. Because of linear dependence in the parameters of the age-period-cohort model, we used computer simulation to chose the appropriate estimation method. We found the married have significantly lower mortality rates than the single and, if converting the difference into a life insurance policy, the discount amount is even larger than that for smokers/nonsmokers.

Description: Presented at Living to 100 Symposium, January 2011. This research studies coherent mortality modeling by combining a group of populations with similar period effects - e.g., mortality behaviors - in an effort to improve the stability of mortality modeling for older ages.