Description: This paper presents a general law of mortality that is equal to a mixture of Gompertz, Weibull, Inverse-Gompertz, and Inverse-Weibull survival functions.

Description: Presented at Living to 100 Symposium, January 2011. This research studies coherent mortality modeling by combining a group of populations with similar period effects - e.g., mortality behaviors - in an effort to improve the stability of mortality modeling for older ages.

Description: This article describes techniques and models used to forecast mortality improvement and the considerations that underlie long-term mortality improvement projections in the United States.

Description: Presented at Living to 100 symposium, January 2002. This paper proposes a standard operating procedure for testing the Gompertz assumption using yearly age-specific mortality data, and the impacts of the data collection period and population sizes on the testing results are discussed.

Description: This article describes some of the drawbacks to the assessment of longevity risk adopted by most practitioners within the UK together with an initiative that provides a platform for an alternative approach that is both (a) more forward-looking in nature and (b) can complement current practices.

Description: Identifies current trends and considerations when setting the mortality improvement assumption for individual life insurance in the US.

Description: This abstract describes a paper that studies the relation between the two basic random events associated with human mortality: birth and death.

Description: View the complete issue for the August 2014 Reinsurance News newsletter.

Description: An interview with Prof. Johnny Li of University of Waterloo, which touches upon the subjects of longevity, mortality projections, international collaboration and the Living to 100 Symposium. Longevity is a topic in which scientific research and collaboration successfully spans many countries, which is desirable because the implications of ever increasing life spans is of global importance.

Description: This abstract describes a paper that investigates how to apply a stochastic mortality model in the presence of missing data, using 'multiple imputation'.