Description: Highlights from the Social Security & Mortality panel at the 2017 Living to 100 Symposium - actuaries responsible for projections in the US, Canada and the UK.

Description: Feature article with helpful hints on video conferencing and more!

Description: Review of ideas and concepts presented at the Living to 100 symposium. The ideas include projections of future longevity, medical breakthroughs that may extend longevity and the potential benefits from slowing the aging process.

Description: The recent release of the RP-2014 Mortality Table and Scale MP-2014 exposure drafts represent the SOA’s first comprehensive reexamination of U.S. pension-related mortality assumptions in over a decade. This paper summarizes the key conclusions reached in those exposure drafts and the estimated financial impact of adopting the new mortality assumptions.

Description: Overview of areas of the Living to 100 content of particularly interest to pension actuaries. Two areas of emphasis are business implications and human resource implications including retirement ages. Draws on panels and papers.

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: This is an article regarding a trip the author took in search of centenarians in a remote area of Pakistan.

Description: A study of disability experience examines cost burden and degree of disability, and how these measures vary across different subpopulations. This article summarizes a presentation given at the Society of Actuaries’ Living to 100: Survival to Advanced Ages International Symposium held on Jan. 7–9, 2008 in Orlando, Florida. An abstract of the author's paper was presented in the September 2008 issue of Long-Term Care News.

Description: Describes benefits of updating homes for aging in place. Calls for stakeholders coalition of: building & tech sectors, LTCI, homecare, health insurance & care.

Description: Effective risk management of a portfolio demands accurate and succinct models which explain the main risk factors. We look at the various requirements we demand of a model, and find that they can all be met with an import from medical statistics: survival models.