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: This is an update of a report published originally in June 20211 comparing total U.S. population mortality to baseline expectations by age and sex. The report now includes U.S. population numbers through August 17, 2022, so the years 2020 and 2021 are now mostly complete.

Description: What are the recent trends in mortality? Should we expect different mortality experience in a post-COVID-19 world? Join us as we review the latest emerging trends in U.S. population mortality.by the end of this session, you will understand the impact of COVID-19 on future mortality experience. You will also have an awareness of other major causes of mortality and how they are trending.

Description: Recent and potential near future extreme experiences are leading us to a new normal rather than back to the prior environment. Learn more about several examples of past Regime Changes along with a detailed discussion of how recent disruptions lead toward a persistent change in the business, social and political environment. Come develop an understanding of these drivers of change as well as the likely impacts on the Financial Services industry.

Description: This report examines the mortality of Canadian pensioners subdivided by pension level, using data from the Canada Pension Plan (CPP) and Québec Pension Plan (QPP)

Description: All things considered, caution needs to be applied to the use of so-called “standard” mortality tables. Sharpening up these blunt estimates by using individual assumptions reveals material differences in the structure of longevity, both between plans and within plans.

Description: What are the recent expectations of long-term trends in mortality? What are the limits to improvements in longevity? Join us as we review the factors impacting U.S. population mortality in the eyes of demographers. By the end of this session, you will have an awareness of the major causes of mortality and how they are trending.

Description: This is a summary of a multi-faceted research project focusing on how to help people better manage money when they no longer can. Article includes interviews with the three co-researchers. Research is focused on understanding when people need help and what actions will encourage them to make proper arrangements. Research includes focus on words and actions that lead to implementation of plans. The team is multi-disciplinary and the research included interviews with experts and individuals, focus groups, and a survey. The research was sponsored by the Society of Actuaries Aging and Retirement strategic research initiative.

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.