Description: This is the Quantification and Management of Longevity Risk in China paper authored by Johnny Li, Kenneth Q. Zhou and Wai-Sum Chan for Session 1A of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the Does Migration Result in Mortality Improvement: A Case Study in Taiwan paper authored by Chih-Kai Chang, Jack C. Yue and Yen-Wen Chen for Session 3B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: Expert discussion of two previous papers: Applying Mortality Models to Japan M. Ozeki, and The Lee-Carter Model for Forecasting Mortality Revisited S.H. Li and W.S. Chan. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: In order to better understand the finitude of life it must be divided into its four components: aging, longevity determination, age-associated disease and death. Age changes result from the increasing rate of biomolecular disorder that, after reproductive maturation, exceeds repair and turnover capacity. These are stochastic or chance events governed by entropy or the tendency for concentrated energy to disperse when unhindered.

Description: These are the Discussant Comments by Anna M. Rappaport for the Housing, Health and Social Support of the Elderly Session 4B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the Trends in Life Expectancy and Lifespan Variation After Retirement paper authored by Jesu´s-Adria´n A´ lvarez, Søren Kjærgaard, Malene Kallestrup-Lamb, James W. Vaupel for Session 1B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This paper discusses two modifications of the Makeham Law of Mortality and their effectiveness in showing the mortality patterns for the 1993 Philippine Intercompany Mortality PICM Table. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: Mortality in general, and especially amongst the oldest old, is known to be partially shaped by seasons: winter is classically characterized by excess mortality. We therefore put forward the use of season-related life tables to study the mortality trajectories of the oldest old. This approach can be used to explore the plasticity of longevity, by opposing winter and summer trajectories. Furthermore, summerrelated life tables summarize the best conditions of mortality, i.e., the lowest values and the least fluctuating pattern. Results are presented for Switzerland, where season-related life tables have been computed until age 110.

Description: This paper examines past mortality trends and discusses how these trends may change over the next 75 years, thus influencing the growth of the elderly population. In addition, this paper describes the methods and assumptions used to project future mortality rates and presents results, including assumed annual rates of mortality reduction and projected life expectancies. As well, this paper discusses stochastic time-series methods that are used to help quantify the variability in the mortality rate projections.