Description: The abstract for the paper Trajectories of Disability and Mortality Among the U.S. Elderly Population: Evidence from the 1984-1999 NLTCS.

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: This is the abstract for the paper, The Cost and Benefits of Treating Type 2 Diabetes Mellitus as a Chronic Condition by Robert D. Lieberthal.

Description: The Society of Actuaries (SOA) and the LIMRA Secure Retirement Institute are pleased to present the results of new research on the retirement market in China.

Description: This SOA report provides an overview and analysis of the mortality models, theories and trends contained in the papers presented at the past four international Living to 100 symposia.

Description: This is a final report to estimate the total economic cost of obesity. This study looks at the economic costs of obesity caused by increased need for medical care, and loss of economic productivity resulting from excess mortality and disability. The Society of Actuaries breaks out the economic cost of overweight versus obesity for the U.S. and for Canada.

Description: Today, a plethora of tools and approaches exist to develop lifetime projections of long-term care (LTC) business. Within these tools lie two distinct approaches to project mortality; namely, by using assumptions that are applied: (1) to an all-lives exposure base, or (2) separately for disabled- versus active-lives exposure bases. Using disabled versus active mortality allows for more granular modeling of the two different cohorts that exhibit dramatically different mortality. And so, when using an all-lives mortality assumption, is the projection missing important details about the appropriate mortality level? This article seeks to not only answer this question, but also answer how a “traditional” all-lives mortality assumption can be impacted when you introduce a combination of the two modeling techniques into the development of a mortality assumption. To answer these questions, we examined the experience and results developed from one c ompany as an illustrative case study.

Description: This study covers a five-calendar year period, years 2011-2015. Death claims incurred during this five-year period and paid by the data collection date were included. The data was primarily collected during the summer and fall of 2017, which would allow a minimum of 18 months following date of death for a claim to be paid. The study was limited to single premium credit life insurance.

Description: This SOA report provides an overview and analysis of the mortality models, theories and trends contained in the papers presented at the past four international Living to 100 symposia.

Description: Presented at May 1996 Spring Meeting. This session analyzes the factors that influence the mortality differences between countries and between population and insured-lives mortality.