Description: In this article, the author comments about an exposure draft of a proposed revision of Actuarial Standard of Practice 23 dealing with data quality.

Description: Panel discussion on recent developments in individual disability insurance, including morbidity trends, reserving assumptions and variations, marketing and underwriting trends and trends in claims practices. Presented at the Spring 1975 Meeting in New York.

Description: Data on morbidity, loss ratios, actual-to-expected continuance rates, and lapse rates for disability insurance, and discussion of the implications with respect to legislation, product design, pricing, underwriting, and marketing. This presentation was made at the 1975 SOA Los Angeles Spring Meeting.

Description: On October 30, 2015, the SOA Assumption Development and Governance Group, an informal discussion group consisting of nearly 200 interested actuaries with topics pertaining to actuarial assumption development and governance, organized an industry discussion call on end-to-end assumption documentation practices. The purpose of this call was to generate a large list of ideas for best-practice assumption documentation. More than thirty companies were represented in the call, including direct insurers, reinsurers and consulting firms. This article is the work product of the discussion written by Laurie Li and Alex Zaidlin.

Description: On October 30, 2015, the SOA Assumption Development and Governance Group, an informal discussion group consisting of nearly 200 interested actuaries with topics pertaining to actuarial assumption development and governance, organized an industry discussion call on end-to-end assumption documentation practices. The purpose of this call was to generate a large list of ideas for best-practice assumption documentation. More than thirty companies were represented in the call, including direct insurers, reinsurers and consulting firms. This article is the work product of the discussion written by Laurie Li and Alex Zaidlin.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.

Description: Following up on recent articles on claim reserves and retrospective testing, this article examines some data quality and methodology issues related to calculating LTCI claim reserves.