Description: This review summarizes the key features of a stochastic model that works with non-life insurance claim incurral, accrual and reporting. More specifically it provides an overview of the claim model components, classical parameter estimators, test statistics, and forecast point estimates and error variances. From 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: This paper presents Bayesian models for analysis of claim lag data. The analysis of claim runoff patterns investigate the extraction of information on trend and seasonal patterns in incurred claims. This is investigated on the basis of individual group data, and also relative to a larger aggregation of pooled experience. The models are implemented based on Markov chain Monte Carlo methods. The models are applied to examples using simulated claim lag data. From Actuarial Research Clearing House, 2003, Vol. 1.

Description: This is a discussion about the impact the 1965 OASDI changes will have on group long-term disability insurance and group medical insurance. Also discussed are the rates of growth of separate accounts and variable annuities. From Transactions of Society of Actuaries 1966, Vol. 18 Pt. 2, No. 51.

Description: This paper discusses the insurance plan titled, Connecticut 65 Extended Health Insurance. From Transactions of Society of Actuaries 1961, Vol. 13, No. 37.

Description: The purpose of this paper is to demonstrate a simplified method of calculating adjusted benefit reserves for any line of life or health insurance. Specific examples are applied to individual hospital and major medical insurance. From Transactions of Society of Actuaries 1973 Vol. 25 Pt. 1 No. 73

Description: Since detailed claim information is not readily available to the Committee on Group Mortality and Morbidity on an annual basis, a special investigation of group hospital expense experience has been conducted. That investigation is summarized in this paper, and covers plan descriptions, morbidity and cost data, and continuation tables.

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: This paper presents a method for analyzing the experience of a stop-loss underwriter to develop a claim continuance table. This method is designed to deal with the limitations presented from certain limited information so as to get the most out of the available information. To the extent this approach is succesful, the credibility of the experience analysis will be maximized, thus minimizing the reliance on external data. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This is an Excel workbook that can be used as a tool for health insurance companies to model their potential risk exposure from an influenza pandemic. It is based on a model developed for a Society of Actuaries study examining the potential implications of a pandemic on the U.S. health insurance industry. The spreadsheet is saved with many of the same assumptions used in this research and reproduces the results of the exhibits contained in the June 2010 report, 'Potential Impact of Pandemic Influenza on the U.S. Health Insurance Industry.'