Description: This report presents Phase 2 of the 2024 IDEC Study, analyzing individual disability income (IDI) claim recovery and mortality rates from 2006-2014. It expands Phase 1's scope—previously limited to 90-day elimination and To Age 65-70 benefit periods—to include additional elimination and benefit periods, examining variations by diagnosis, occupation class, claim year, and gender.

Description: This report examines how the number of persons (“lives”) covered in a mortality study, and the length of the study period (in years), affects the statistical reliability of improvement rate estimates.

Description: This report introduces a framework for assessing the impact of retirement plans on organizational success. It highlights the direct and indirect benefits of well-designed retirement plans and includes 10 key considerations, metrics, and measures of workforce dynamics. The framework helps companies prioritize necessary changes, with examples and case studies illustrating successful applications and potential risks.

Description: The report discusses using behavioral science in redesigning life insurance underwriting questionnaires to improve disclosure rates. It includes an experimental study, industry survey insights, and discussions on application forms, behavioral science application, and organizational engagement with behavioral science in the insurance industry.

Description: This report provides a comprehensive guide for actuaries, insurance companies and regulators to understand the scope and challenges of earthquake risk and insurance in the U.S. It also looks at Canada and Puerto Rico due to their proximity.

Description: The Mortality Improvement Life Working Group released a recommendation for a set of improvement factors that vary by gender and attained age to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table for AG-38 purposes.

Description: In April of 2023, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the fourth time such a panel was assembled, and most panelists had participated in the previous discussions.

Description: The SOA has translated four of its AIT report summaries into both Traditional and Simplified Chinese. They are “Behavioral Science”, “Big Data and the Future Actuary”, “Cancer Genomics”, and “Cloud Computing and Machine Learning Uses in the Actuarial Profession.

Description: This report provides methodological tools for an insurer to better understand the potential losses incurred by autonomous vehicles in the context of rollover risk.

Description: This report summarizes a study that estimates the total economic burden of the opioid crisis in the United States from 2015 through 2018 and projects future costs of the opioid epidemic for 2019.