Description: This panel discussion session focuses on developments in health insurance minimum loss ratio regulation including the NAIC Minimum Loss Ratio guidelines, loss ratios as a regulatory tool, and state regulatory actions. From Record of Society of Actuaries 1981, Vol. 7, No. 1.

Description: 1994 SOA Spring Meeting, Orlando. In this session the panel consider the question of uncertainty in loss reserves including discussion of sources and measurement. The panelists analyzed the same data set from different perspectives and discussed the strengths and weaknesses of the approaches.

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 paper presents a method involving re-sampling 'with replacement but without random numbers', numerical convolutions for sums and quotients, and estimation of confidence intervals for trend in average size claim. In this paper, this method is applied to major medical claims.

Description: This paper discusses the purpose and nature of the benefit ratio [otherwise known as active life] reserve in relation to the class of health insurance contracts to which it is intended to apply. From Transactions of Society of Actuaries 1988, Vol. 40, Pt. 1.

Description: The Joint Committee on Health Insurance appointed a subcommittee, known as Task Force 4, to study the problems of reserves for accident and health insurance. The final report of the Task Force, including basic tables of net annual claim costs for hospital and surgical expense insurance, was adopted by the NAIC at its December 1956 meeting. This article contains the Task Force's final report [included as Appendix A] and 30 Tables for use in valuing hospital and surgical expense insurance in accordance with the recommendations of Task Force 4. From Transactions of Society of Actuaries 1957, Vol. 9, No. 25.

Description: This report provides morbidity experience under individual medical expense policies in force during the 1975 and 1976 calendar years.

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.