Description: The SOA's GDIEC has completed their study of termination experience for the period 2004-2012. Included is a preliminary report and pivot tables.

Description: The revised 2013 Study includes three pivot tables: Individually Billed Group Life, Self-Administered Group Life, and AD&D, which will enable companies to perform their own analysis to supplement the findings of this report.

Description: The Milliman extension to the 1975-80 basic tables used for the 2005-07 Individual Life Experience Study. See the SOA website, research section, for the complete report.

Description: This is an excel spreadsheet showing mortality data from all companies ILEC 2005–07 supporting files and additional information by age band. Please see the SOA website experience studies for the full report and other related tables.

Description: Data requirements for experience study covering period of 1/1/1997 through 12/31/2006.

Description: This is the second Intercompany Study of Long–Term Care Insurance. For this report, the committee gathered and refined data that dates back to 1984. This report combines and analyzes data received from 14 insurers that agreed to provide information to further the knowledge of long–term care insurance.

Description: This report presents initial findings from a project investigating the direct and indirect impacts of COVID-19 in the post-acute phase of the pandemic. These findings focused on cause-specific excess mortality in the first three pandemic years, March 2020 to February 2023. In addition, the authors investigated how different mechanisms contributed and could continue to affect mortality rates following the acute pandemic period. The study is based on weekly mortality data by age and cause of death from 2015 to 2023 obtained from the National Center for Health Statistics at the Centers for Disease Control and Prevention, combined with population estimates from the U.S. Census Bureau. Weekly excess deaths by age and cause comparing observed deaths to deaths expected based on pre-pandemic trends were computed. Then the temporal correlation between weekly COVID-19 and excess deaths from other causes at various lags were assessed. The authors developed a theoretical framework to interpret the results of this analysis and understand potential underlying factors responsible for excess mortality.

Description: The Group Life COVID-19 Mortality Survey Report Series gathers a high-level view of U.S. group term life insurance mortality experience since the onset of the COVID-19 pandemic. These reports measure results in total and by broad age group, industry category, geographic region, and cause of death.

Description: The Health Care Cost Trends Strategic Research Committee is looking for research proposals to study the impact of Artificial Intelligence on any of the following elements of healthcare • Evaluate the impact on predictability of financial results • Evaluate the impact on the efficiency of care management techniques applied to members • Compare results to traditional risk adjustment and traditional methodologies of predictive analytics • Determine an overall financial impact of applying AI to identify these high cost claimants.