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: In practice, the actuary may be required to forgo independent mathematical judgment in order to follow regulations which prescribe specific exposure or enforce counts for full and partial credibility. In this paper the authors give specific examples of such regulation from various states, and discuss the positive and negative features of the regulatory approaches. From Actuarial Research Clearing House, 2003 Vol. 3.

Description: This paper provides an outline of the pricing methodology used by Blue Cross and Blue Shield of Virginia which incorporates trend analysis by trend component. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper suggests that using the entire runoff triangle to keep a tail on the runoff curve was not necessary, and that doing so was actually a disadvantage if group medical and dental claim payment patterns changed over the period being used. An alternative was presented. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper provides a method for estimating long-tailed unpaid losses from paid loss development using trended generalized bondy development. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This is an internal letter from an actuary to an associate regarding a claims study that established, in the mind of the writer, the adequacy and conclusiveness of a small sample size in certain situations. Actuarial Research Clearing House ARCH 1988, Vol. 3

Description: This paper addresses pricing stop loss insurance by employee for two benefits combined when the available information included a claims probability distribution for each benefit and the correlation coefficient between the benefits. From Actuarial Research Clearing House 1991, VOL. 1

Description: In this paper the authors analyze data from group medical expense insurance claims and show that many insurance loss distributions have very 'heavy tails' because large losses represent a disproportionate fraction of the total cost. They also present a simple model to reproduce and explain the large loss behavior. From Actuarial Research Clearing House 1990, VOL. 2