Description: Presented at the Living to 100 Symposium, January 2011. This paper examines the relationship between the earliest stages of dementia—mild cognitive impairment—and mortality. Using data from long-term care insurance applicants, and linking this to the Social Security Master Death File, the authors focus on the classification results of two cognitive screens used at various times in the underwriting process. Applying the Cox Proportional Hazards Model as well as relative mortality ratio analysis, the authors show that the proportion of individuals classified as cognitively impaired have significantly higher relative mortality compared to those classified as cognitively intact.

Description: Table from an article in The Actuary Magazine on an analysis of risk management terminology: your guide to speaking ERM with different industries. Volumn 4, Issue 6

Description: Author reply to Jay Olshansky’s discussion of “Health Expectancy” paper and reply from authors Faye Albert, John Bragg and Jason Brooks.

Description: An interview with Jim Toole, lead researcher for SOA's pandemic research project. The project examines pandemic influenza and its implications to the life and health insurance industry.

Description: In this interview Dr. Reinhardt shares his thoughts on the role he believes actuaries should take in the health care system reforms.

Description: This paper proposes a new method to price the longevity risk premia in order to tackle the pricing obstacle. Based on the equivalent utility pricing principle, our method obtains the minimum risk premium required by the longevity insurance seller and the maximum acceptable risk premium by the longevity insurance buyer.

Description: This is the abstract for the paper, The Need for Coordinated Care for Depression, and the Need for Creative Innovation by Stephen P. Melek, FSA.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: Statement of the American Council of Life Insurers on Pandemic Influenza Preparedness in the Financial Services Sector before the Subcommittee on Oversight and Investigations of the House Financial Services Committee of the United States Congress, June 29, 2006

Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry