Description: The Retirement Plans Experience Committee of the Society of Actuaries (RPEC) is pleased to present this annual update to the RPEC_2014 model and its corresponding mortality improvement scales. This new version of the model reflects historical U.S. population mortality experience through 2018. For clarity, the updated mortality improvement scale based on this 2020 version of the model is called Scale MP-2020.

Description: The Society of Actuaries Individual Disability Experience Committee has completed their study of incidence experience for the period 2006-2014 comparing trends to the 2013 IDI Valuation Table (2013 IDIVT) base incidence rates. Included is the report and pivot table.

Description: This report details the method taken to develop the aggregate databases 2000-2016 Long-Term Care Intercompany Experience Study.

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 2000-2021.

Description: In recent years, vast amount of data from emerging experiences has helped insurers gain a deeper understanding of their policyholders and the factors driving their behaviors. However, due to limitations in traditional experience study methods, this understanding typically remains at the cohort level. This series of articles proposes a novel machine learning-based model that analyzes and predicts policyholder behaviors at the individual policy level. Policyholder embedding representations are learned using a Recurrent Neural Network (RNN) that takes into account the sequence of historical transactions associated with a policy. Additionally, a Neural Network with a multi-head architecture is trained to predict the policyholder's next action based on the policyholder embedding and other policy attributes. The resulting model offers several advantages over traditional experience studies and assumption-setting methods, including the ability to set policy-level assumptions that improve reserve accuracy, predict multiple behaviors simultaneously while capturing the interrelationships between them, and generate policyholder embedding representations that are useful for segmentation.

Description: Papers: Multi-Population Longevity Models: A Spatial Random Field Approach– Nhan Huynh, Mike Ludkovski, Ph.D. - University of California at Santa Barbara, Howard Zail - Elucider, LLC. The Application of Affine Processes in Cohort Mortality Risk Models – Zhiping Huang, Michael Sherris, FSA, FIAA, FIA, Andres M. Villegas Ramirez, Ph.D., Jonathan Ziveyi, Ph.D. - UNSW Australia

Description: 2009 - 2016 ILEC Mortality Report Appendices

Description: The Product Development Section Council and the Committee on Life Insurance Research of the SOA engaged RGA Reinsurance Company to undertake a research project on level premium term life insurance products with a particular focus on the magnitude and impact of the 'shock lapse' at the end of the level premium period. Mortality was also studied. These are the Excel Pivot Tables for that study. Please see the SOA website experience studies for the full report.

Description: The Joint Academy of Actuaries’ Life Experience Committee and Society of Actuaries’ Preferred Mortality Oversight Group’s Guaranteed Issue/Simplified Issue/Preneed Working Group has developed a set of basic mortality tables for Preneed business. Select and ultimate tables for male, female and unisex were developed. All rates in the tables are on a unismoke (or composite) and age-last birthday basis. See the links below for the report and tables in Excel format.

Description: A discussion of the significant challenges involved in attempting to research with robust analysis the impact of disparities in health care access, cost and quality of care on financial wellness across racial, ethnic, socioeconomic and other demographic groups in the U.S. for reasons other than or in addition to income, wealth or employment status.