Description: This is the informal discussion transcript for concurrent Session 6B: The Changing Face of Elder Care from the January 4-6, 2017 Living to 100 Symposium.

Description: Presented at Living to 100 symposium, January 2002. This is a report of a study in which the Cox proportional hazard model, a widely used survival analysis tool, was applied to profiling the mortality of an insured advanced-age population. The data was derived from 14 US insurers. This data represents policies issued between 01/01/1997 and 12/31/2000 to policyholders of age 60 or older. The major study results include measures of mortality, variations by selected risk factors, estimated mortality experience of the underlying population, and a comparison of mortality experience estimated by direct calculation, the Society of Actuaries’ SOA 1990-95 mortality study, and our extended Cox modeling technique.

Description: Transcript of the Q&A period from Session 6B: Health Status and its Impact on Mortality

Description: Discussion of “Health Expectancy” paper and reply from author, Faye Albert. Discussion of Human Behavior: An Impediment to Future Mortality and Discussion of Health, Wealth and Wisdom - Living Long, Living Well: An Actuary Muses on Longevity

Description: We ask whether we can find support for the previously reported upper limit of the force of mortality of 0.7, i.e. about the probability of tossing a fair coin.

Description: We employ a framework for the classification of mortality evolution patterns to HMD data. We find both supra-regional patterns and outliers from global trends.

Description: We employ a framework for the classification of mortality evolution patterns to HMD data. We find both supra-regional patterns and outliers from global trends.

Description: We ask whether we can find support for the previously reported upper limit of the force of mortality of 0.7, i.e. about the probability of tossing a fair coin.

Description: This paper demonstrates the calculation of the moments of the distribution of aggregate life insurance claims from seriatim inforce data, assuming that each record represents an independent Bernoulli trial with its own known probability of a claim, q. Continuous distributions matching the first three or four moments are identified.

Description: The percentage of the population who are obese has grown dramatically worldwide over the last several decades, although stabilizing recently in the United States. Studies have found the effects on mortality to be inconsistent and controversial because of methodological differences and the complexity of the relationship between obesity and mortality. This paper discusses this relationship and sheds light on the likely effects of this epidemic. Issues associated with the so-called obesity-mortality paradox, where mortality experience is lower for those individuals who are overweight and in some who are obese compared with the mortality of those in the normal weight category, are examined. Although certain recently reported studies of the relationship between mortality and obesity indicate that obesity is related to a reduced percent of additional mortality, this may in part be due to the shorter average time that those currently obese have been exposed to their condition. Nevertheless, the amount of health care costs and rates of disability associated with being obese are significant, contributing to the increase in overall health care costs as they become more numerous and age. Although obesity is being addressed with a great deal of activity and publicity, they will continue to prove challenging for individuals and society to manage and overcome.