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 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 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 Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by sex and single year of age for calendar years 2000-2022.

Description: This report examines the demographic, medical, and pharmaceutical profiles of HIV-positive individuals in Medicare and how their needs differ from the general Medicare population.

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.

Description: The Society of Actuaries and LIMRA have sponsored a Variable Annuity Guaranteed Living Benefit Utilization Study.

Description: Toward a Predictive Analytics Framework files

Description: This memorandum is a supplement to the Long Term Care Experience Basic Table (“Experience Table”) that was published bythe Society of Actuaries (“SOA”) in April 2015 and revised in July 2015.