Description: This panel discussion, which occurred at the May 1982 Society of Actuaries meeting in Colorado Springs, covered U.S. Social Security issues. Topics included: 1. Financial status of the Social Security program. 2. Changes recently adopted and proposed. 3. Impact of these changes on the private pension system 4. Role of the actuarial profession regarding the Social Security program. The following papers were referenced in this discussion: OASDI Earnings Test, by Warren R. Luckner Measures of Actuarial Status for Social Security: Retrospect and Prospect, by Dwight K. Bartlett III

Description: This session 1GS of thePalm Desert Spring Meeting discusses the aging of our society. Topics include how fertility and mortality affect aging and the effects of changing demographics in the U.S. From Record of Society of Actuaries, Vol. 23, No. 1.

Description: Article from The Actuary February 1968 – volume 2 - Issue 2 summarizing a special session from the 1967 SOA Annual Meeting titled, "Mortality Estimation and Risk Theory Aspects of Mortality." The four papers presented are outlined.

Description: This session at the SOA 1990 Annual Meeting is about what do we need to do as a profession in order to prepare ourselves and our profession as a whole for the needs and demands of the future. Focus is on education, research, professionalism, and public relations.

Description: The objective of this paper from the Transactions of Society of Actuaries 1964, Vol. 16, Pt. 1, No. 44 AB, is to illustrate some of the alternative approaches to making approximate probability statements about the present value of life annuities assuming a specified distribution of the random variable, time until death, and a fixed interest rate.

Description: Concomitant with the industrial revolution, the function of providing old age income shifted from families and local institutions to government social security and private pension plans. The history of this change in the U.K. and U.S. is reviewed. A simple mathematical model provides insights into the role played by three rates [the rate of increase of the working population, the time preference rate, and the rate of real wage growth] in determining optimum funding policy. From Actuarial Research Clearing House 1994, Vol. 2.

Description: Actuarial literature in the twenty-five years includes discussions of a well known inequality. Among the recent papers on various aspects of this classic result are those by Berin 1970, Olson 1975 and Sarason 1960. A standard method for achieving this inequality uses Jensen's inequality. This is the method used by Bowers, et al 1983. We will also employ this method in an attempt to learn about it.

Description: This paper discusses the Bayesian graduation method of Kimeldorf and Jones and develops methods for managing four technical problems in their method. It also includes a discussion of the paper. From Transactions of Society of Actuaries 1977, Vol. 29.

Description: These notes are a follow-up to the paper 'Introduction to the Dynamics of Pension Funding' by the same authors and published in Transactions of Society of Actuaries 1976, Vol. 28. The purpose of that paper was to provide an introduction to mathematical principles applicable to pension funding under dynamic conditions of population growth, inflation, and automatic adjustment of benefits. The first note discusses a general contribution formula and a number of special cases and modifications. The second note concerns aggregate cost funding when the actuary uses assumptions about cost factors which differ consistently from cost experience. The final note concerns the variation of the annuity unit under a variable annuity program patterned after the plan employed by the College Retirement Equities Fund [CREF]. From Actuarial Research Clearing House 1981, Vol. 1.

Description: In this paper we shall present our results in terms of the estimation of human mortality rates, but the results carry over to other applications. We shall discuss a Bayesian model that encompasses both graduation [smoothing] and prediction.