Description: This e-course describes social insurance programs, their operation and the current issues they are facing.

Description: The article describes the insurance industry's preparation for pandemic events and the public finance response.

Description: Informal discussion 2017 LT100 transcript for Session 1C: Impact of Aging: Biggest Current Policy Challenges from the U.K./U.S./Canada as a Result of Aging?

Description: Using data from the Mexican Social Security Institute for labor risks, this paper classifies the severity of sequels in three categories: mild, moderate and high, and attempts to relate this level with the characteristics of the worker and his activities at work. Toward this goal, a model was built using a multilogistic regression, which allowed predicting the severity of physical sequels caused by a labor risk. From Actuarial Research Clearing House, 2006.

Description: This article discusses the risk mix related mathematical rationale for national average ACA premium rates dropping for the first time in 2019.

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

Description: Chapter 10 of the Models for Retirement Policy Analysis. This chapter describes the Macroeconomic-Demographic Model of the U.S. Retirement Income System used to investigate alternative approaches to investment of the OASDI trust funds.

Description: "Through both informed policy debate and opinionated social media, there are many current event health topics actively discussed and debated. The question remains... how does one separate out subjective information, seek objective analysis, and at the same time consider where there might be more research needed to come to conclusions? This session will use several current event topicsas examples and discover insights as to where research has been performed, what it may or may not cover, and also note where lines are still blurred and may need further details to be studied. Topics that may be discussed include: How valuable and exact is the use of risk-adjustment for Medicare Advantage What is the health and mortality impact of receiving COVID-19 vaccinations"

Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.