Description: Using data from the Mexican Social Security Institute for labor risks, this paper classifies the severity of sequels in three categories: mild, moderate and high, and attempts to relate this level with the characteristics of the worker and his activities at work. Toward this goal, a model was built using a multilogistic regression, which allowed predicting the severity of physical sequels caused by a labor risk. From Actuarial Research Clearing House, 2006.

Description: This is the A Review of the Demography of Retirement in the United States abstract authored by Jacob S. Siegel for Session 2B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

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 outlines a framework for managing life insurance company surplus. This framework can be used to assess capital investments, control the amount of capital used, monitor return on capital, and take actions when results deviate. From Transactions of Society of Actuaries 1986, Vol. 38.

Description: The Policyholder Behavior in the Tail Risk Management Section Working Group issued its fifth survey to gather the range of assumptions actuaries use in pricing, reserving, and risk management of minimum guarantees on Variable Annuity products, such as death benefits, income benefits, withdrawal benefits and maturity benefits.

Description: Milliman, Inc. Milliman was retained by the Society of Actuaries SOA to perform certain actuarial analyses with respect to the Z-Factor methodology under a principles-based approach PBA to statutory reserve and capital. Under PBA, the Z-Factor is a measure of margin in excess of the best estimate assumptions embedded in the statutory reserves of a life insurance product or block of business.

Description: Sent to potential participants to gather information to better evaluate mortality experience.

Description: The American Academy of Actuaries and the Society of Actuaries have joined resources to maintain this Economic Scenario Generators Excel Workbook tool for use in regulatory reserve and capital calculations. Please see the SOA website research pages for further information on this tool and how to use it.

Description: This report presents the results of a survey on individual life insurance claims in early policy durations. It covers: application questions, underwriting tests, claims practices, best indicators of early claims, most common causes of early deaths, and mortality experience.