Description: This article examines the impact of a changing smoking rate on population-level mortality improvement and the importance of taking this driver into account.

Description: The most recent demographic data published in Mexico allows us to analyse in detail the profound demographic transition that has been taking place in the country for more than four decades. It is possible to develop forecasts for the future on the basis of this historic experience. The purpose of this article is not only to illustrate the profound demographic change in Mexico – and what it is expected to experience over the coming decades – but to highlight the challenges for the insurance industry posed by the various demographic trends. Wherever challenges are found, however, opportunities also exist, provided the industry succeeds in adequately transforming its own processes and meeting the needs of a changing market.

Description: This article talks about longevity risk and reinsurance and its global challenges.

Description: Mortality in the U.S. states at ages 80 and older and over years 1959–2011 analyzed and compared with mortality levels in 13 high-longevity countries.

Description: Mortality in the U.S. states at ages 80 and older and over years 1959–2011 analyzed and compared with mortality levels in 13 high-longevity countries.

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

Description: The article discovers that mortality is higher for females than for males at higher ages, and suggests "stress" as the explanation. It then discusses mental illness research, including recovery therefrom.

Description: U.S. population mortality rates by gender and single year of age for calendar years 2000-2014. To develop these rates, the SOA relied upon data furnished by the Centers for Disesase Control and Prevention, Centers for Medicare and Medicaid Services, and the Social Security Administration.