Description: A divisive confrontation over health care pricing is almost inevitable over the next few years. What will ultimately happen is a political decision, not an actuarial one—but it will have major consequences for the trend in health care costs and the divergence between public and private insurance premiums.

Description: Fact sheet summarizing the Contribution Analysis: U.S. Multiemployer Pensions Plans report.

Description: Analysis tool associated with the research report that models the impact on the U.S. insurance market resulting from a post-Brexit economy in the UK. keywords: European Union;Brexit;Insurance industry

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This report highlights major weather stories that unfolded across the month of November 2010.

Description: This paper examines the Australian actuarial qualification process from the perspective of what makes a good education system, and notes that there are a number of constraints imposed by the profession that impair the quality of students’ learning outcomes. The paper goes on to suggest how these pitfalls might be avoided in the interests of providing future actuaries with an opportunity to develop the attributes they will need for their professional careers. From Actuarial Research Clearing House, 2006.

Description: The recent financial crisis created incentives to review investment practices and see what was done well and what could be improved for the future. Looking inward at insurer investment practices, background trend information was generated and a survey developed for insurers to share their thoughts. The research continued with conversations in private and public forums, where initial conclusions were expanded.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: The goal of the sessions was to learn how advisors are reaching out to this market and to uncover the roadblocks that they think are deterring greater mid-market use of financial services.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?