Description: A divisive confrontation over health care pricing is almost inevitable over the next few years. What will ultimately happen is a political decision, not an actuarial one—but it will have major consequences for the trend in health care costs and the divergence between public and private insurance premiums.

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.

Description: Supporting Excel file for Getzen Model 2022.

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: The MACRA/QPP Payer Revenue Model is designed to provide Health Plans an estimate of the expected claim cost increase/decrease due to MACRA.

Description: Dataset to accompany Fifty States, Fifty Stories: A Decade of Health Care Reform Under the Affordable Care Act - Technical Report

Description: Data file for Commercial Health Care Cost and Utilization Trends From 2009–2015 research report.

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