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.

Description: The military retirement system is a funded, noncontributory, defined-benefit plan that includes nondisability retired pay, disability retired pay, and survivor annuity programs. This article discusses the additional benefits created by the Military Retirement Reform Act of 1986.

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

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

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

Description: Summary of the annual cost-of-living adjustment and changes in other wage-indexed programs parameters for Social Security in 2024.

Description: The widening gap in life span between high- and low-income Americans may be eroding the progressivity of Social Security retirement benefits. Differential longevity trends have had the effect of raising lifetime benefits for high earners but not for low earners. Social Security’s long-term financial problems result in part from an increase in average life expectancy driven by wealthier people living longer, and, thereby, collecting more benefits. Policymakers should not use funding shortfalls attributable to these trends as an excuse to cut monthly benefits alike for those who have gained (high earners) and for those who haven’t (low earners).