Description: Instructions for completing the workbook for the 2009 Individual Life and Annuity Expense Study.

Description: The American Academy of Actuaries and the Society of Actuaries (SOA) have joined resources to manage the economic scenario generators used in regulatory reserve and capital calculations.

Description: The American Academy of Actuaries and the Society of Actuaries (SOA) have joined resources to manage the economic scenario generators used in regulatory reserve and capital calculations.

Description: Healthcare costs have been rising faster than general inflation for many years. Early models that predicted this past pattern projected healthcare expenditure growth that continued to outpace total expenditure growth leading to the fallacious position that the whole of the US economy would ultimately be consumed by healthcare. The Society of Actuaries' Pension Section and Health Section Research teams commissioned Professor Thomas E. Getzen of Temple University to construct a resource model for the projection of long term healthcare cost trends that includes capacity constraints to ensure the long-term projection is rational. The motivation for creation of the model was driven by its potential usage as a resource for the estimation of reportable liabilities for retiree healthcare benefits as specified under FAS 106 and GASB 45 accounting statements. This is a zip file containing the following: 1. A background paper on the creation of the health trend model, 2. The model, programmed in Microsoft Excel [xls format], that projects per-person expenditures and growth rates through 2099 using baseline assumptions, but also permits the flexibility for user–inputted alternative assumptions, and 3. Technical documentation providing transparency and support for the ultimate results.

Description: The Health Section Research Team is pleased to make available the following research study and Excel model that provide a framework for estimating the financial impact of health plan provider network risk. The research was conducted by the Denver office of Milliman, Inc. The Excel workbook allows the user to assess cost implications of aspects of network risk under various assumptions. The assumptions in the workbook can be altered by the user and be applied to test a range of scenarios.

Description: This paper is about the world's oldest-old population - those 80 years and older - and their life expectancy. It provides a few methods for extending the life tables to age 100 and beyond, and projects mortality patterns at very old ages.

Description: Discussion of papers presented at Living to 100 and Beyond symposium. Papers discussed: 'Dealing with Problems in Data Quality for the Measurement of Mortality at Advanced Ages' in Canada by Bourbeau and Desjardins, 'Mortality at Advanced Ages in Spain' by Felipe and Anguera, and 'Emergence of Supercentenarians in Low Mortality Countries' by Robine and Vaupei. These papers all deal with centenarians.

Description: Discussion of three papers presented at Living to 100 and Beyond symposium. Papers discussed: Paper by Ken Faig on how the Social Security Administration's Master Death File can be used as a resource to investigate mortality at later ages, paper by Kestenbaum and Ferguson on how to improve the quality of the information available on old age mortality, and paper by Gallop on older age mortality in the UK derived from public pension data.

Description: Presented at Living to 100 symposium January 2002. This paper evaluates age and sex specific patterns of change in underlying and multiple cause of death reports for the period 1980-1998 for 14 leading causes of death at ages 65 and older. Changes in four types of mortality measures will be analyzed: 1 underlying cause death rates 2 multiple cause death rates 3 associated cause death rates and 4 death rates based on the joint occurrences of multiple cause conditions. Implications of the results are discussed in the context of existing models for analyzing and forecasting future mortality patterns in the U.S.

Description: Most, if not all, ERM frameworks recognize the added value that the quantification of risk brings to the overall risk management process. This paper discusses the need for the development of a quantification framework, which is a clear opportunity for the actuarial and mathematical communities. From 2006 Enterprise Risk Management Symposium, M-AS06-1.