Description: Panelists from the home-based care industry will discuss the latest technology and services that enable and prolong the receipt of formal and informal care at home for the elderly and delay transitions to care facilities.

Description: General Session VI

Description: Panelists discuss: [1] two American Council of Life Insurance [ACLI] studies, one covering U.S. programs and the other covering Canadian programs, [2] characteristics and attitudes of Americans aged 50 to 64, [3] older baby boomers as potential customers, and [4] long-range consequences of baby boomers on social insurance programs. From the 1987 Record of Society of Actuaries, Vol. 13, No. 4A.

Description: Discover an introduction to decomposing differences in life expectancy by age and cause of death. Take a look into demographic techniques that decompose life expectancies at birth and older ages into the portions contributed by later age groups and causes of death-. These have been in existence for some time and provide a convenient device for analyzing mortality change over time as well as differences between sexes, countries, and ethnic groups. The methods will be described and illustrated by spreadsheet examples.

Description: "Population Aging, Global Climate Change and Social Security – Sally Shen, Research Associate, Global Risk Institute, John A. Turner, Ph.D., Director, Pension PolicyClimate Change and Mortality Time for Actuaries to Pay Attention – Sam Gutterman. FSA, CERA, FCAS, FCA, HONFIA, MAAA"

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.

Description: In the face of profound, worldwide changes in demographic, family, and lifestyle patterns, this paper introduces a dynamic social security system deemed most suitable for accommodating these changes.

Description: This article is a review of “1972 Lifetime Earnings by Age, Sex, Race, and Education Level, Research and Statistics Note No. 14-1975,” published by the Social Security Administration, which presents detailed data by quinquennial age groups, sex, race, and years of school completed as to the present value of future earnings based on static earnings levels 1972. It is stated that such data can be used for general analytical purposes to form policy, for court determinations of awards in damage suits, and for cost-benefit analysts in such areas as disease prevention and education programs. The author of this article notes in his analysis the inconsistency of the static salary assumptions with a range of interest rates from 2% to 8%.

Description: "Informal caregiving is far more costly than many people realize. And not just in the immediate future. Current demographic trends suggest that caregiving will become even more necessary and costly as the Baby Boomers continue to age and require more support and services. In 2022, the SOA engaged Milliman, Inc. to conduct an analysis of the need for informal caregiving and its impacts on employees, employers, and other stakeholders. The purpose of this research was to educate stakeholders, policymakers, and other interested parties on the realm of informal caregiving, as well as how the challenges associated with providing informal care of all kinds might be addressed. Discover key findings and themes from the research project, as well as stories highlighting the various forms this role can take, and solutions currently being developed around the country. An open discussion on ways our profession can impact this growing need with the work we do every day in our respective roles will also be included."

Description: "On the decomposition of mortality models into causes of death – Andrés M Villegas Ph.D – UNSW Australia, Madhavi Bajekal, Ph.D.,HONFIA, University of London, UK, Steven Haberman, Ph.D. – Bayes Business School, University of London, UK Forecasting cause-specific mortality rates using the insights from the cointegration analysis, Séverine Arnold, PhD, Viktoriya Glushko, Department of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Switzerland"