Description: A plain-language, high-level explanation of employer withdrawal liability issues, including how they grew to be large and barriers to their collection.

Description: This report provides a framework of analyses and methods that can be use to compare and assess strategies for developing lifetime retirement income.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2016. The report, the tenth in a series, includes comparisons to the previous surveys.

Description: A report analyzing the cost of care for deceased cancer patients over the last six months of life.

Description: Using the Health Care Cost Institute (HCCI) database, we examined which characteristics best predict and describe high-cost members.

Description: This report examines the impact on risk scores in risk adjustment models when there are timing differences for model updates and risk factor mappings.

Description: The devastation wrought by opioid related deaths is national news. This article looks at the details behind the statistics.

Description: Paper by Max Rudolph for the SOA on historical views on systemic risk and its applications.

Description: This document explores how climate change impacts retirement planning, investments, housing, and health across policy and economic dimensions through essays and funded research.

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.