TY - JOUR AU - Bernard, Didem AU - Selden, Thomas AU - Pylypchuk, Yuriy TI - The Distribution of Public Spending for Health Care in the United States on the Eve of Health Reform JF - National Bureau of Economic Research Working Paper Series VL - No. 23150 PY - 2017 Y2 - February 2017 DO - 10.3386/w23150 UR - http://www.nber.org/papers/w23150 L1 - http://www.nber.org/papers/w23150.pdf N1 - Author contact info: Didem Bernard Agency for Healthcare Research and Quality Center for Financing, Access, and Cost Trends 540 Gaither Road Rockville, MD 20850 E-Mail: Didem.bernard@ahrq.hhs.gov Thomas Selden 540 Gaither Road Rockville, MD 20850 E-Mail: Thomas.Selden@ahrq.hhs.gov Yuriy Pylypchuk Office of the National Coordinator for Health Information Technology 330 C St SW Washington, DC 20024 Tel: 202-774-2428 E-Mail: Yuriy.Pylypchuk@hhs.gov M1 - published as Didem Bernard, Thomas Selden, Yuriy Pylypchuk. "The Distribution of Public Spending for Health Care in the United States on the Eve of Health Reform," in Ana Aizcorbe, Colin Baker, Ernst R. Berndt, and David M. Cutler, editors, "Measuring and Modeling Health Care Costs" University of Chicago Press (2018) M3 - presented at "Measuring and Modeling Health Care Costs", October 18-19, 2013 AB - U.S. health care spending in 2012 totaled $2.8 trillion or 17.2 percent of gross domestic product. Given the magnitude of health care spending, the large public sector role in health care, and the reforms being implemented under the Patient Protection and Affordable Care Act (ACA), we believe it useful to examine several basic questions: What was the public share of national spending on the eve of reform? How has the public share evolved over time? And how are the benefits of public spending on health care distributed within the population by age, poverty level, insurance coverage, health status, and ACA-relevant subgroups? The questions we pose, while basic, cannot be answered with commonly-available statistics due to the sheer complexity of health care financing in the U.S. The objective of this paper is to provide answers by combining aggregate measures from the National Health Expenditure Accounts with micro-data from the Medical Expenditure Panel Survey. ER -