Description: An organized list of our articles you can sort by topic, issue, author,and you can read a short summary of the article.

Description: This is the databook for the "Health Care Cost - From Birth to Death". This study used commercial data held by the Health Care Cost Institute (HCCI) and Medicare fee-for-service data to analyze health care cost differences by age and their contribution to overall health care cost change. The commercial data includes claims from 2002 through 2010 and the Medicare data includes claims from 2006 through 2010.

Description: Resource material for 2018 data analysis contest.

Description: This is a tool to model the impact of a ban of the use of genetic testing information in life insurance underwriting.

Description: This research material provides an evaluation and synthesis of the methodologies and data samples used on characterizing health care fraud

Description: A report on the results of the latest intercompany study of mortality experience under structured settlement annuities for the exposure years 2009-13.

Description: The Canadian Institute of Actuaries (CIA) and the Society of Actuaries (SOA) are pleased to make available a resource model that provides long-run (to 2050 and beyond) forecasts of health care spending in Canada. The material was authored by Michel Grignon, Byron Spencer, and Li Wang of McMaster University.

Description: The SOA Long-Term Care Experience Committee (LTCEC) will be conducting a study on a) incidence, lapse and mortality study and b) claim terminations.

Description: The SOA Long-Term Care Experience Committee (LTCEC) will be conducting a study on a) incidence, lapse and mortality study and b) claim terminations.

Description: The Society of Actuaries' Pension Section and Health Section Research teams commissioned Professor Thomas E. Getzen of Temple University to construct a resource model for the projection of long term healthcare cost trends. The motivation for creation of the model was driven by its potential usage as a resource for the estimation of reportable liabilities for retiree healthcare benefits as specified under FAS 106 and GASB 45 accounting statements. This model, programmed in Microsoft Excel [xlsx format], projects per-person expenditures and growth rates through 2099 using a set of equations and assumptions developed by Professor Getzen with assistance from the Society of Actuaries Project Oversight Group appointed to oversee the effort. The model includes baseline assumptions as well as flexibility for user–inputted alternative assumptions.