Description: Provide users with a demonstration of the 2012 IDEC Claim Incidence and Termination Rate Tables and adjustments to these tables to reflect experience of key segments of the business. Compares active life and disabled life reserves based on the Base Tables and CIDA.

Description: The Group Life Insurance Experience Committee of the Society of Actuaries has completed the 2005 Group Term Life Waiver Reserve Table Report. There were several compelling reasons to develop a new experience study and table, not the least of which was that 35 years is a long interval for any study. This is the excel Calculation Spreadsheet for Reserve Factors for Group Term Waiver of Premium [NAIC version]. Please see the SOA website for the Report of the Group Life Experience Committee for March 2006.

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2009 Individual Life and Annuity Expense Study. This is the separate data submission form for Universal Life.

Description: Documentation Sheet for Database in relation to the 1991-92 Group Medical Insurance Large Claims Database experience study.

Description: Data requirements for the Society of Actuaries cancer experience study, for those submitting exposure and claim information.

Description: Virtual - Session 4D: Actuaries Transforming Healthcare - Improving Childbirth Outcomes and Population Health

Description: This article details different methods for calculating mortality impact associated with new underwriting programs. A common simplified calculation is compared and contrasted with two first principles approaches. The strengths and weaknesses of both approaches are discussed.

Description: Discusses the market, demographic, and macroeconomic factors that affect actuaries' choices for the assumptions they use in the pricing and valuation of many insurance products.

Description: Electronic health records (EHRs) are one of the fastest-growing digital health data categories, with over 90% of carriers using or evaluating EHRs for underwriting, according to a recent Munich Re survey. This session brings you up to speed on the current (and future) state of EHRs.

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting their strengths and weaknesses, talking about how to use them and evaluating their accuracy, and telling you where you can get code packages as well as a free dataset to try the methods out.