Description: The SOA has been interested in financing of long term care for many years. As part of this interest, they approved a state-based research effort in the chosen location of Minnesota. Join authors of the research as they present their findings . The research effort looked at stakeholder responses in Minnesota to several designs that would create a state-based catastrophic long-term care insurance program. The conceptual work was based on efforts by Cohen, Feder and Favreault using the DYNASIM model created by the Urban Institute. Catastrophic coverage would be provided after a variable waiting period based on income. Private resources, including long-term care insurance, would be expected to cover the front end. (Persons on Medicaid would continue to have their gap coverage provided by that program).

Description: In this webcast, presenters will outline the key content in ERM ASOPs 46, 47 and 55 and explore the impact each ASOP has on practitioners working in these fields. We will also describe the revision work currently under way in the ERM Committee of the Actuarial Standards Board.

Description: Product complexity, the services provided by distributors, their method of obtaining clients, and their relationship to insurers all affect the characteristics of in force membership. Selecting the distribution channel(s) for a product can have a significant effect on overall profitability. Total sales, acquisition costs, anti-selection/quality of business, persistency, control over market targeting, etc., will vary based on the initial strategy decisions and future adjustments. Gaining a high-level understanding of distribution channels will help develop an appreciation for the importance of these decisions.

Description: "Establishing Methods for Annual Updates to Cohort Life Expectancies – R. Dale Hall, FSA, CERA, MAAAManaging Director of Research, Society of Actuaries Research Institute Longevity Disparity across Communities in the United States – Lijia Guo, Ph.D., ASA, MAAA , US Government Accountability Office, Applied Research and Methods Division, Washington DC"

Description: Both the SOA and AARP will showcase their recent research projects highlighting the impact of marginalization on aging and retirement. Learn how being a member of a marginalized group changes your outcomes as well as your perspective on aging and retirement.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: Congress authorized the creation of the RAISE Family Caregiving Advisory Council in 2018. The Council, comprised of family caregivers and experts from a wide variety of stakeholder organizations in both the private and public sector, have been engaged in an in-depth research effort over the last two years to develop recommendations and an implementation plan to address our national caregiving crisis. This article describes their work and the newly released Report to Congress.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: 2021 ImpACT Conference -Session 8B: Combination Product Development and Risk Management 10.27.21 Recording

Description: Informal caregiving is a major source of long-term care (LTC) and long-term supports and services (LTSS) more broadly. The benefit of informal caregiving is appreciated by those receiving it, and most caregivers find purpose in their work. The costs of caregiving fall on employers, other family members, the health care service sector, stakeholders in the LTSS system, and most importantly the caregivers themselves. Providing support to these caregivers can therefore benefit employers, employees, and their families, as well as the many payors of formal LTSS. Hear from three experts in caregiving who will provide their perspective about how to support information caregivers — operationally and financially — to help them succeed in their purpose. Understand benefits this support can have to the other stakeholders in today’s LTSS system. By attending this session, you will be able to: • Explain the importance of informal caregivers to stakeholders in the LTSS system, including the impact to payors and employers. • Describe the challenges informal caregivers face, and paths to success and avoiding burnout. • Discuss potential future financial solutions that may benefit caregivers, including employee programs and insurance opportunities.