Description: We provide a possible solution to deal with the parameter estimation of mortality models when the population size is small, based on graduation methods.

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.

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 2002. This paper proposes a standard operating procedure for testing the Gompertz assumption using yearly age-specific mortality data, and the impacts of the data collection period and population sizes on the testing results are discussed.

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: Experts' discussion of data sources, quality, and analysis. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: We propose an age-shift model to modify the LC model and deal with the problem of parameters. The proposed method attains smaller estimation errors with respect to mean absolute percentage error or mean square error. We also apply the proposed age-shift model to the mortality rates of these four countries to evaluate the longevity risk in annuity products by measuring life expectancy.

Description: Abstract: 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: We provide a possible solution to deal with the parameter estimation of mortality models when the population size is small, based on graduation methods.

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.