Description: This paper presents a procedure for calculating aggregate stop-loss premiums that takes parameter uncertainty into account. From Actuarial Research Clearing House ARCH 1988, Vol. 3

Description: Presented at June 2002 Spring Meeting. This session discusses how credibility varies by size of groups for various health coverages, when a block of business can be considered fully credible, how credibility can factor into a rate filling, and to what extent current experience can be considered more credible than past experience.

Description: This session takes a fresh look at the issues related to acute care focus and the challenges of providing coordinated care for chronic conditions in the United States. From the Record of the Society of Actuaries Vol. 31 No. 2, Session 80

Description: This paper presents a model of the progression of the Acquired Immunodeficiency Syndrome [AIDS] epidemic in the United States. From Transactions of Society of Actuaries 1989, Vol. 41.

Description: This paper summarizes the salient techniques for evaluating and pricing the risks in group disability income coverages. This paper contains examples of how to evaluate short-term and long-term disability experience for developing manual rates. A discussion of the paper follows. From Transactions of Society of Actuaries 1990, Vol. 42.

Description: Presents credibility formulas that are designed to be specifically applicable to group insurance, and which are based on group size and are adjustable for changes in group membership, etc. The practical motivation and use of these formulas are discussed.

Description: 1993 SOA Spring Meeting, San Diego. This session discussed credibility theory. Areas addressed included defining credibility and the complexities of measuring it with an emphasis on group medical insurance.

Description: This session at a SOA 1990 Spring Meeting focuses on group health insurance including discussion of financial projections, calculating reserves, claims control and management reports.

Description: A mathematical framework for benefits and choices must be created to model benefit selection. This paper creates such a framework by defining benefit plans as reimbursement functions. These are then used with a defined choice function to calculate the cost deviation due to selection. Finally, utility functions can be applied to this framework to predict choice.

Description: Presented at October 1986 Annual Meeting. This session discussion is about the use of simulation, or Monte Carlo, techniques to analyze complex insurance models such as estimating reserves, solvency considerations, and estimation of mortality and distribution of aggregate losses with the aid of a computer program