Description: This is a discussion on the paper of the same name.

Description: In an increasing population the number of persons falls off from age to age more rapidly than does the stationary population of the life table. This can introduce a systematic bias into life table calculations. The first part of the paper describes an iterative procedure to correct for the bias, extends the method to multiple decrement and associated single decrement life tables, and demonstrates the magnitude of the bias involved. The second part of the paper summarizes the results of applying iterative life table techniques to 165 populations which encompass over a century's experience and include countries from all parts of the world. Followed by discussions submitted by several people

Description: Discussion the issues/difficulties associated with setting mortality assumptions for the later durations of life insurance illustrations. Because some UL products incorporate low cost of insurance charges in late durations as part of the current scale in the product design, some conclude that mortality improvement assumptions are being employed in the disciplined current scale, in violation of the Model Illustrations Regulation.

Description: Discussion of how to measure actual to expected mortality experience in the life settlement market.

Description: The article explores the possibility of using the emerging technology for life insurers to build a monitor system for better risk and profitability management.

Description: Discussion on Living to 100 Session 4A. Papers presented: Inference for Logistic-type models for the Force of Mortality and, Predictive Modeling for Advanced Age 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: This article presents the findings by a University of Goettingen scientist who indicates that persons with type-O blood are 60% more likely to live to age 75 than are those with type A. This article discusses the impact of this finding on underwriting.

Description: A discussion of the need to search for alternative mortality tables other than the 1975- 80 and 1990-95 tables to use as the base table, which may be more appropriate for a particular company or specific products.

Description: The impact of the underlying mortality table selected as a basis for projecting mortality results