Description: The financing for Social Security is a pay-as-you-go system, rather than the full-reserve system utilized in private insurance, and the financing conditions of the trust funds have more uncertainty than does the reserve in private insurance. Traditionally, the financing conditions have been decided by a deterministic approach using economic and demographic assumptions that rely upon negotiation among experts at various government agencies. This paper proposes an econometric approach, called the 'co-integrated multivariate time series model,' for forecasting the financing conditions of the trust funds. This stochastic approach not only establishes the interrelationships but also clarifies the co-movements among the economic assumptions. Furthermore, it helps analyze the original assumptions rather than the differences of the nonstationary assumption variables adopted by researchers in the past that are more difficult to interpret. Use of this approach permits the assessment of the probability distribution of the future balance of trust funds instead of assessing estimates from the three alternative deterministic assumptions. This distribution will provide policy-makers with a better assessment of stability of the trust funds.

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: In this paper the author presents an application of Bayesian forecasting methods to the estimation of reserves for outstanding claims. He assumes that the time number of periods it takes for the claims to be completely paid is fixed and known, that payments are made annually and that the development of partial payments follows a stable pay-off pattern. From Actuarial Research Clearing House, 2003, Vol 1.

Description: This paper presents a general law of mortality that is equal to a mixture of Gompertz, Weibull, Inverse-Gompertz, and Inverse-Weibull survival functions.

Description: This paper presents the fundamentals of creating and using projections. From Transactions of Society of Actuaries 1950, Vol. 2, No. 4.

Description: Presented at May 2002 Spring Meeting. Our lecturer presents findings from a research project relating to the Cox, Ingersoll & Ross model of interest rates, including an effective way of pricing general interest rate derivatives and pricing bonds.

Description: In Medicaid rate development, actuaries have not historically shared models that developed the margin (i.e., underwriting gain) assumption. This is unfortunate, given the margin assumption is one of the most critical components of the rate development in ensuring financial solvency of the Medicaid managed care organizations (MCOs). In this session, we will discuss the primary components of the this assumption and will share working models that help actuaries quantify these components—including the cost of capital and risk (or contingency) margin. We expect a lively discussion as we “open the black box” and discuss these actuarial assumptions in the public for the first time.

Description: This abstract describes a paper that discusses insurance claim forecasting using econometric stepwise regression to analyze historical data.

Description: Presented at Living to 100 Symposium, January 2011. This research studies coherent mortality modeling by combining a group of populations with similar period effects - e.g., mortality behaviors - in an effort to improve the stability of mortality modeling for older ages.

Description: This paper introduces the modern concepts and definitions of the statistical subject of life testing, and ties them in with corresponding concepts of actuarial science. This paper additionally presents a justification of some common laws of mortality. Discussions of the paper are included.