Description: This is an Excel spreadsheet showing Appendix C, Primary Tables of the 2008 Valuation Basic Report and Tables. The full report describes the development of the 2008 Valuation Basic Table. It incorporates the Primary Tables, the Relative Risk Tables and the Limited Underwriting tables. Please see the SOA website experience studies for the full report and other related tables.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: The Society of Actuaries' Long-Term Care Insurance Experience Committee is soliciting information on long-term care policies for both incidence lapse mortality and claim terminations from January 1, 2000 through December 31, 2011.

Description: This is the fourth Intercompany Study of Long–Term Care Insurance. This report combines and analyzes data received from 24 insurers that agreed to provide information to further the knowledge of long–term care insurance. Those insurers are listed in Appendix A of the report.

Description: This report describes the development of the 2008 Valuation Basic Table. It incorporates the Primary Tables, the Relative Risk Tables and the Limited Underwriting Tables.

Description: This is an excel spreadsheet showing Appendix F, Relative Risk, of the 2008 Valuation Basic Table Report and Tables. The full report describes the development of the 2008 Valuation Basic Tables. It incorporates the Primary Tables, the Relative Risk Tables, and the Limited Underwriting tables. Please see the SOA website experience studies for the full report and all other related tables.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: This paper provides an overview of the employee benefit package, provides data and discusses issues with regard to cost variation, and shows how this data can be combined to provide an understanding of the variation for different employee benefit packages.