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

Description: Hear about some applications using quantile regression-derived individual and group claim distributions and how they may be used in various traditional health care modeling situations. The session will not focus on the technical use of quantile regression to obtain estimates of claim distributions, but more so is intended to focus on the uses of the distributions in actuarial modeling and the additive framework in assessing claims distributions. Presenters will show how actuaries can better assess risks by focusing on the individual- and group-specific claims distributions as opposed to traditional point-estimate-centric models.

Description: Health care has changed rapidly over the past couple of years. The pandemic has shifted consumer behavior in how and where they receive health care as well as consumer attitudes toward health care. Payers continue to design innovative solutions in responses to their patient’s needs and expectations. These changes in consumer behaviors and the responses by payers are expected to impact both health care cost and utilization. Discuss changes in health care that have emerged due to the pandemic and how they are expected to influence actuarial assumptions. Explore epidemiological models commonly used in the industry, the considerations when using these models, as well as the challenges with regards to gathering and interpreting relevant experience data. By attending this session, you will be able to: Identify shifts in consumer behavior that have emerged from the pandemic and describe how payers are responding to new patient expectations. Discuss how these post-pandemic changes by consumers and payers influence medical spending. Determine which actuarial assumptions are impacted and how and if the impact is expected to be temporary or permanent. Discuss considerations taken by actuaries and challenges faced when modelling actuarial assumptions post pandemic.

Description: In late 2021, U.S. Congress passed the Consolidated Appropriations Act (CCA), which requires group health plans and health insurers to submit information regarding the costs of prescription drug costs and other health care services each year to the federal government. Learn how this data can be useful to anyone responsible for forecasting and budgeting.

Description: The first annual report on the study of the morbidity experience of Group Supplementary Major Medical Expense insurance. From the Transactions of Society of Actuaries, 1967 Reports.

Description: The Society's Group Disability Insurance Experience Committee has completed their study of termination experience for the period 2009-2017. Included is a preliminary report, consolidated database (CDB), pivot tables and appendices.

Description: Data Request from individual life carriers who have policies that have a waiver of premium provision.

Description: Excel file to be attached to cover sheet on this same 2005-2007 individual life persistency study. Contains the actual persistency experience data from the study.

Description: The 1986-98 Credit Risk Loss Experience Study represents a continuation of the 1986-94 study analyzing credit loss experience by institutional investors on private placement bonds. The study measures incidence rates, loss severities and economic loss rates associated with credit risk events for privately placed debt during the years 1986-98.

Description: The session will highlight trends in recent industry mortality and lapse studies that have been conducted, including areas where individual companies typically have limited data. The sources of data feature SOA studies as well as other industry studies conducted by consultants and/or reinsurers. Gain an understanding of current drivers of mortality and lapse experience for life insurance evidenced in industry studies, and an understanding of available data to supplement experience in areas where you may have limited internal experience.