Description: This abstract describes a paper that introduces spatio-temporal models and methods for analysis with specific emphasis on quantities of interest in actuarial science. Generalized additive mixed models are used for the analysis of geographic and temporal variability of mortality rates.

Description: The author provides highlights from a March 2012 seminar on longevity risk sponsored by the Actuarial Society of New York (ASNY).

Description: Living beyond ones life expectancy poses many challenges. Among them are financial issues. Though there are products and strategies available that retirees could use to mitigate this financial risk they are seldom used. Reasons range from high cost, lack of awareness of the available options, and general underestimation of longevity risk. This paper poses the question as to whether the federal government can provide a solution to this potential problem in a fair and cost efficient manner. Ideas are presented as well as a discussion of the pros and cons of such a program concept.

Description: This paper provides some background about demography, health and retirement summarizes how current pension laws influence the design of pension plans and the timing of retirement and looks at the optimal retirement age from the perspective of employers, government and workers.

Description: In this project the researchers explored the new opportunities provided by the ongoing revolution in information technology for studies of exceptional human longevity. Methodologies and interpretation of the results were presented.

Description: The Society of Actuaries Strategic Research Program Steering Committee is pleased to release this report examining how well people estimate their own life expectancy.

Description: Comparison of life expediencies in 2020 from various mortality tables

Description: The Retirement Plans Experience Committee (RPEC) hired Ernst & Young to perform a literature review and assessment of mortality improvement rates in the United States population.

Description: Whether focused on mortality, longevity, health or disability risks, biometric uncertainty is the foundation of our work. With a long history of processes and methods for analyzing biometric considerations, we run the risk of becoming stagnant in our thinking about the subject. The presenters will explore how companies can stay ahead of the curve in an environment of ever-changing medical and biometric influencers. They'll dig into cause of death trends, the obesity epidemic, genetic testing, wearables, other wellness tools and more. The presenters will also address the impact of changing risk assessment methods through predictive underwriting. This session is for anyone interested in staying at the forefront of biometric risk.

Description: The abstract for the paper Data Sources, Quality and Analyses - Data Quality of Oldest-Old Population in Taiwan 2003 Census for Ages 89 and above.