Description: When designing and pricing a healthcare product, it is not only important to know how to model frequency and severity, but it is essential to understand human behavior. Of course, the issue of anti-selection in medical insurance is well known as individuals know more about their health and prior expenditures than an insurer does. This type of behavior is certainly rational, and to be expected.

Description: Article reviews the data a year into the unwinding of continuous coverage provisions in Medicaid, the impact on enrollment counts, how capitation rates have been adjusted, and compares those results to what has been modeled with the SOA Mediciad Unwinding model.

Description: The article discusses the innovative integration of the SOA Research Challenge into the actuarial curriculum at the University of New South Wales (UNSW). This integration, part of the capstone course "Actuarial Theory and Practices," transforms the educational experience by focusing on hands-on problem-solving and mirroring professional actuarial work. Key topics covered include setting assumptions, understanding external environments, the modeling process, data quality, and risk management.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: Table of contents for the 1999 Spring meeting of the Society of Actuaries, held in Seattle, Washington

Description: This paper will show how the NAIC formula and others can be allocated by line of business by the use of partial derivatives of RBC.

Description: The Group Annuity Experience Committee performs biennial mortality studies of insurance company annuity experience under group pension contracts issued primarily in the United States. This report covers two biennial experience periods, 2003-2004 and 2005-2006.

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