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.

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 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: This is the forecasting tool for the Modeling and Forecasting Cause of Death Mortality by Socioeconomic Factors.

Description: This the Application Tool for Mortality Improvement Model, MIM-2021.

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