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: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

Description: Resource papers that would be helpful to actuaries who work on Experience Studies and/or Table Development.

Description: Call for essays on catastrophe modeling for life & health insurance focusing on impacts of the L.A. wildfires. Topics include risk modeling, insurability considerations, catastrophe event management, and AI's role. Submissions open until June 2025, offering up to $10,000 in awards for selected essays. Publication will follow with author attribution.

Description: Document discusses growing risks in the life and health insurance industry from catastrophic events like pandemics and climate change. It explores how insurers can model these risks and highlights the impact of traditional and nontraditional catastrophic events on the industry. The document also addresses climate-related risks concerning insurers.

Description: This study quantifies the range of intercompany variability in mortality. Mean actual-to-expected (A/E) ratios based on amount were calculated in each quintile for every combination of six key variables.

Description: This research utilized an interview-based approach that delves into the utilization of alternative data in the Australian life and health insurance markets.

Description: On October 7, 2023, the SOA Research Institute assembled an industry expert panel to discuss current issues in GenAI. The group was diverse in terms of employment, including company actuaries from life, health and property/casualty backgrounds, as well as consultants from various kinds of firms.

Description: This report presents an analysis of the NAIC climate risk disclosures for reporting year 2021. The 2021 disclosures were the most recently available data at the time this analysis was conducted (in June and July of 2023).