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: This paper is about an Interacting Particle System [IPS] approach to modeling treatment costs associated with a multiple stage pandemic. The model population receives differing treatments with possibly differing costs depending on the stage of exposure/infection. The total cost of treatment is a time varying utility function of the ensemble population for which this approach uses particle system methods to simulate the cost of maintaining survival of the population. The paper gives a brief background on particle systems with specific focus on 'the contact process', followed by expanding the contact process to represent more realistic state transitions.

Description: This section presents book reviews and summaries of recent publications: 'Fundamentals of Private Pensions, 2d Edition' by McGill, 'Pension Plans under Collective Bargaining...' by American Federation of Labor and Congress of Industrial Organizations, 'New Trends in Pensions' by Pilch and Wood, 'Valuation of Securities Holdings of Life Insurance Companies' by Fraine, 'Report of the Commission on the Cost of Medical Care, Volumes I-IV' by American Medical Association, 'Health Progress in the US, 1900-1960' by Lerner and Anderson. Also includes some digests.

Description: This document provides an explanation of the Health Company Pandemic Modeling tool excel workbook and gives step by step instructions for companies to enter specific scenarios and assumptions.

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. This paper presents a long term healthcare trends resource model, prepared for the Society of Actuaries by Professor Thomas Getzen, 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.

Description: Paper by Max Rudolph for the SOA on historical views on systemic risk and its applications.

Description: This paper considers the question of whether or not the growth in the size of financial statements witnessed over the last several years has yielded an increase in the quality of disclosure around issues of financial risk and to what extent this disclosure is satisfying the perceived needs of readers of the financial statements, as represented by the investment analyst community. The question is addressed by presenting the results of research consisting of 1 the review and analysis of the disclosures addressing issues of financial risk contained within financial statements issued from 1999 to 2004 by 25 major insurance companies operating in the US and 2 the interviewing of 5 insurance industry analysts to understand their perceptions of what is good and bad about financial disclosure practices of life insurance companies.

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 project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

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.