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 article from The Actuary, May 1972 – Volume 6, provides references to three notes: 1. Benefit Loads in Relation to Coverage and Reserves for Railroad Retirement and Other Major Retirement and Social Insurance Plans. 2. Two Decades oj Employee Benefit Plans, 1950- 70. 3. Social Security Programs throughout the World.

Description: Designing an international pension program for mobile Employees. From The Pension Forum, January 2003, Volume 15, Issue No. 1.

Description: This is an article about retirement age and life expectancy. The article compares the normal retirement age and life expectancy in Germany and the United States.

Description: General Session III – The Ageing Process: From New Technology to New Medicine

Description: Retirement market study of Colombia in Spanish.

Description: Retirement market study of Mexico in Spanish

Description: Retirement market study of Argentina in Spanish.

Description: "Driving Longevity Through Educational Attainment – Robert L. Brown – Ph. D. Higher Age U.S. Mortality By Education and Cause of Death Trends, Inequality and Controllable Risk Factors – Andrew J. G. Cairns – MPA Ph.D., Maxwell Institute for Mathematical Sciences, and Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, Scotland, UK, Cristian Redondo Lour´es, Ph.D., Actuarial Solutions,"

Description: Some research implies that micro SDOH-related risk factors can influence a significant proportion of an individual's overall health outcome. Contained in SDOH are items such as mental health, ongoing social connection and interactions, transportation, financial confidence, and other items.