Description: The Individual Annuity Experience Committee of the Society of Actuaries has completed an experience study of individual annuities covering the calendar years 2000 - 2004. The intest of this study was to provide recent annuitant mortality experience which can be compared to the Annuity 2000 Mortality Table, and provide a basis for a possible revision to that table. These are 2 Pivot table data for that experience study. One is for all companies combined and the other is for 10 common companies. Please see the SOA website experience studies for the complete report.

Description: Background and additional information about the Preferred Class Structure Questionnaire.

Description: U.S. population mortality rates by gender and single year of age for calendar years 2000-2014. To develop these rates, the SOA relied upon data furnished by the Centers for disease Control and Prevention, Centers for Medicare and Medicaid Services, and the Social Security Administration.

Description: The Society of Actuaries Group Annuity Experience Committee has completed this report which presents the 2001-2002 calendar-year experience of retired individuals in the United States who are covered under group pension contracts. For the first time, the committee has presented the results in pivot table format. This is that pivot table of the 2001–02 Group Annuity Experience Report. Please see the SOA website experience studies for the full report.

Description: This report presents the results of our survey on post-level premium period lapse mortality assumptions and experience for level premium term products. The survey was conducted in mid-2006.

Description: This article outlines a practical approach for setting mortality rates using credibility theory. It includes formulas that can easily be applied to determine how much credibility to assign to the results of a mortality experience study.

Description: Uncertainty of a predictive model is a fact of life that many insurers could be overlooking at their peril without a framework for assessing it. The article provides a framework to understand the prediction uncertainty, which can be critical for the insurance operations using predictive models. Coin toss example explains model uncertainty and randomness inherent in making predictions to the number of heads expected. A mortality analysis case study illustrates how the Bayesian methodology can be used to develop the prediction uncertainty. In particular, the article shows that the Bayesian framework is a way to combine historical data and actuarial judgment, and directly address the model uncertainty through its posterior distribution.

Description: This is an example of male life expectancy at age 65 from the United States.

Description: The article gives specific information as to why insurance companies would want to participate in intercompany mortality studies. Product Development News, August 2000, Issue No. 50.

Description: Discussion of the latest report of the Individual Life Experience Committee ILEC Mortality for Standard Individually Underwritten Life Insurance Between 2005 and 2007 Policy Anniversaries.