Description: Read about the A Model of the Impact of Social Distancing on the Transmission Rate of a Communicable Virus.

Description: View the 2023 Group Term Life Waiver Experience Table Report.

Description: View A Tool for Tabulating Johns Hopkins University's Coronavirus Database.

Description: This is an example of forecasting causes of death-Drug mortality for the project Modeling and Forecasting Cause of Death Mortality by Socioeconomic Factors.

Description: This research project offers guidance and a model for actuaries to use when performing their professional services related to Medicaid (Title XIX) and Children’s Health Insurance Program (CHIP or Title XXI) managed care capitation rate setting, including, but not limited to, their certification on behalf of a state in accordance with the requirements for actuarial soundness as set forth in law, federal regulation, and CMS guidance, as well as the actuary’s professional obligations under the Actuarial Standard of Practice (ASOP) 49 issued by the Actuarial Standards Board.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: The Product Development Section, the Financial Reporting Section, the Modeling Section and the Committee on Life Insurance Research are pleased to present new research on modeling and forecasting cause-of-death mortality. Authored by a Milliman team led by Alexandre Boumezoued, the report develops a framework for forecasting cause specific death rates. Included also is a Cause of Deaths Forecasting Tool and a user guide for the tool.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.