Description: Regression to the mean is a phenomenon that arises when comparing sequential data points. It states that when an initial observation is extreme or an outlier, future observations will be closer to the average. Health care actuaries need to understand and be able to mitigate the effects of regression to the mean to avoid misapplying predictive models or misstating measurements of historical effects.

Description: Discussion of issues from The Credibility Task Force for Health Coverage. From Health Section News, June 1998, Issue No. 35.

Description: sources of Health Care data Issue No. 37.

Description: Considerations in the Development of Area Factors, Issue No. 38.

Description: This article examines the costs of mental health parity, presents the primary drivers of cost increases from legislation and shows evidence the initial cost projections were too high. From Health Section News, March 2005, Issue No. 49.

Description: 2014 marked a new beginning for small group(SG) health insurance market ushered in with adjusted community rated products priced from a single risk pool. It was anticipated that the mandated pooling of the risk would result in higher rates, especially for healthier groups. It is the aim of this article to show whether that view bears out in the actual market rates and if it is higher, then by how much. The article provides a point in time(1st quarter 2025) comparison of premium rates under two segments of the small group market, namely Qualified Health Plans(QHP) available under the small group ACA market versus self-insured Multiple Employer Welfare Arrangements(MEWA) plans.

Description: Unpaid Loss Reserve fair and reasonable test and two legal cases Utah Medical and Minnesota Lawyers Issue No. 39.

Description: Review of six opinions requried in The Statement of Actuarial Opinion for the Health Annual Statement. Issue No. 48

Description: Profile of an actuary in a non-traditional actuarial role: focusing on medical cost and analysis, both retrospective and prospective.

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.