John Czajka, PhD
John is leading a SHARE-funded project that will analyze the potential implications of the PPACA provision requiring states to use “modified adjusted gross income” (MAGI) to determine income eligibility for medical assistance under state plans and waivers. The project will convene a meeting between state officials and policy experts to discuss these implications and will use the CPS to conduct an empirical analysis to determine how MAGI compares with other income definitions that selected state have used. Through these analyses, researchers will develop a set of guidelines for states to use in translating their particular Medicaid/CHIP income definitions into the MAGI and filing-unit concepts that PPACA requires.
John is a Senior Fellow at Mathematica Policy Research in Washington, D.C., where he began working in 1978 as a research sociologist.
John is well known for his technical contributions to the policy analytic field. His work has focused on the development of administrative data files for research and policy applications, the evaluation of estimates obtained from survey data (particularly income and program participation), and the analysis of panel data. He has directed many studies of health insurance coverage, including analyses of the dynamics of coverage over time and the impact of the Children’s Health Insurance Program on trends in children’s coverage.
John's research for clients such as the U.S. Department of Health and Human Services, the Centers for Medicare & Medicaid Services, the Internal Revenue Service, and the Social Security Administration has covered a broad range of topics and has been widely cited.
Additional Professional Roles
John is a fellow of the American Statistical Association and a past president of the Washington Statistical Society. He has served on four National Research Council panels, including the Panel on the Census Bureau’s Dynamics of Economic Well-Being System, Panel on Research and Development Priorities for the U.S. Census Bureau’s State and Local Government Statistics Programs, Panel on Data and Methods for Measuring the Effects of Changes in Social Welfare Programs, and Panel on Alternative Census Methodologies.