Description: Navigate a perspective on the process of developing estimates and projections of mortality rates, based on a Living to 100 paper by the teacher. Discover the approach and considerations an actuary (or others) can take to develop a mortality rate assumption for five time periods. It will describe techniques to estimate historical mortality rates from which to project future mortality rates.

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: This section presents book reviews and summaries of recent publications on a variety of topics.

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"

Description: Overview/Foreword by the 2017 Symposium Chair and Foreword by the 2020 Symposium Chair.

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 article contains reviews of the following books published in 1992 and 1993: 1. 'Demography and Retirement' by Anna M. Rappaport and Sylvester J. Schieber, 2. 'Health Insurance Answer Book' by John D. Reynolds and Robin N. Bischoff and 'Health Insurance Answer Book, 1993 Cumulative Supplement' by Thomas A. Darold, and 3. 'Value of Pensions in Divorce' by Marvin Snyder. From Transactions of Society of Actuaries 1993, Vol. 45.

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: "COVID-19 and excess mortality: an actuarial study – Camille Delbrouck, Aon Benfield, Belgium, Jennifer Alonso-García, Department of Mathematics, Université Libre de Bruxelles, Belgium, ARC Centre of Excellence in Population Ageing Research (CEPAR), UNSW Sydney, Australia Netspar, The Netherlands How did COVID-19 change the dependence structure across major causes of death – Han Li, Ph.D., Associate Professor, Centre for Actuarial Studies | Faculty of Business and Economics, The University of Melbourne, Victoria, Australia"

Description: This article provides a perspective on the SOA’s Aging and Retirement research reports, and on the types of research that are included. The SOA does a lot of research on different retirement topics, and many people are not aware of the scope of this work. This article offers an overview of the big picture as we think about the future. The article describes longer-term challenges to the US retirement system and recent developments that have affected the system and created uncertainty. It provides an overview of what individuals have said about retirement and their view of post-retirement risks and planning in a variety of consumer research studies. It then reviews some of the research and provides information on summary reports which provide insight on the findings from multiple related research reports. It also provides information about consumer education and what is currently available and in process. It then focuses on how the SOA is helping retirement professionals understand current and expected change and discusses areas of uncertainty as we help those we serve deal with change.