Description: Realizing the impact of medical errors on the U.S. health care system, the Health Section commissioned a research project to measure the annual frequency of medical errors and their total measurable direct and indirect cost to the economy.

Description: Editorial on being healthy and living to 100.

Description: This article discusses an upcoming SOA/CAS sponsored project regarding the Modeling of Economic Series Coordinated with Interest Rate Scenarios.

Description: This article describes the proposal selected for research involving the modeling of economic series. The proposal submitted by the research team of Kevin Ahlgrim of Bradley University, Stephen D'Arcy of the University of Illinios and Richard Gorvett of Zurich North America was selected.

Description: This article is about the 2008 Living to 100 Symposium which highlighted changes in longevity, biological perspectives, mortality trends and more .

Description: Discusses SOA research report evaluating pension de-risking strategies.

Description: The SOA’s Committee on Finance Research recently made available the results of a research study that explores economic series and provides an Excel-based tool for generating future economic scenarios. From Risks and Rewards Newsletter, August 2005, Issue No. 47.

Description: This session discussion is about high cost claimants in medical benefit plans and how to control costs and anti-selection. From Record of the Society of Actuaries Vol. 15, No. 3B.

Description: Healthcare costs have been rising faster than general inflation for many years. Early models that predicted this past pattern projected healthcare expenditure growth that continued to outpace total expenditure growth leading to the fallacious position that the whole of the US economy would ultimately be consumed by healthcare. This paper presents a long term healthcare trends resource model, prepared for the Society of Actuaries by Professor Thomas Getzen, that includes capacity constraints to ensure the long-term projection is rational. 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.

Description: This research report studies the social media response to three extreme tornado outbreaks: May 22, 2011 in Joplin, MO, November 17, 2013 in Washington, IL and April 9, 2015 in Rochelle, IL. It uses Twitter data with a 14‐day period for each tornado event with a focus on a 24‐hour period surrounding the event. It starts with an overview of the data followed by analysis of geolocation, insurance related user influence, social network, and sentiment.