Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1995 Vol 2

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1993 Vol 2

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1998 Vol 2

Description: This session discussion is about experience-rating and credibility in group health insurance. From Record of Society of Actuaries Vol. 18, No. 1B.

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1996 Vol 1

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1998 Vol 1

Description: Editors' comments regarding the editorial policy of the ARCH which is an informal communication platform regarding current actuarial research which the Committee for Research on Theory and Applications of the Society of Actuaries offers to members and friends of the actuarial community. From the Actuarial Research Clearing House 1991, Vol.1.

Description: A mathematical framework for benefits and choices must be created, in order to model flexible 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. From Actuarial Research Clearing House 1992, VOL. 1.

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

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.