Description: Often an investor is offered an annuity for a fixed purchase price. The computation of the yield rate implied by this transaction must presently be computed by an iteration scheme, usually on a computer. With reasonable parameters, the problem of determining the yield rate can be readily solved with a desk calculator. From the Actuarial Research Clearing House 1982, Vol.1.

Description: The minimum distance estimator proposed allows for the selection of the best fitting family member without prior distributional assumptions. It is shown that this estimator is consistent and can be made either robust or asymptotically efficient. Its asymptotic distribution is derived and and illustrated with automobile insurance data. From the Actuarial Research Clearing House 1990 Vol. 1

Description: This article describes the primary goal of the Actuarial Research Clearing House [ARCH], its editorial policy and the procedure for submitting manuscripts. From Actuarial Research Clearing House 1991, Vol. 3.

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 1993 Vol 1

Description: This is the program for the 30th Annual Actuarial Research Conference held at The Penn State Scanticon Conference Center in University Park, PA on August 17-19, 1995. From Actuarial Research Clearing House 1996, Vol. 1.

Description: This is the agenda for the 33rd Annual Actuarial Research Conference held at Georgia State University, August 6-8, 1998.

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication. ARCH 2000 Vol 1

Description: This article considers the challenges that need to be addressed in the cost analysis of long range social insurance programs, which in the US is now over a period of 75 years. The main thrust of this paper is the consideration of population changes however, the effects of economic elements cannot be ignored. From Actuarial Research Clearing House, 1984 Volume No. 1.

Description: The purpose of this paper is to illustrate the method of Lagrange multipliers complete with simple examples. The author suggests that this methodology is ideally suited to the investigation of minimum variance plans. From the Actuarial Research Clearing House 1987 Vol. 1.