Keith Kranker

Keith Kranker focuses on quantitative research analyses, having designed or implemented more than a dozen impact evaluations, including individual and cluster randomized designs, quasi-experimental studies, and observational studies. His work has focused on the effects of the Centers for Medicare & Medicaid Services’ programs on health care utilization, spending, and health outcomes for Medicare and Medicaid beneficiaries.

Kranker currently leads several tasks related to measuring impacts on beneficiaries and providers for the evaluations of the Medicare Care Choices Model, the Maryland Total Cost of Care Model, and Million Hearts Cardiovascular Disease Risk Reduction Model. He has expertise in using a wide variety of statistical and econometric analysis methods and predictive data science techniques to conduct research on Medicare, Medicaid, CHIP, WIC, and other program outcomes using survey data and administrative data files, on topics including health care payment models, primary care redesign, maternal and child health, chronic conditions, end-of-life care, and rural healthcare.

Before joining Mathematica, Kranker held positions at the Millennium Challenge Corporation, the University of Maryland, and the World Bank Group. He holds a Ph.D. in economics from the University of Maryland. His research has been included in numerous Centers for Medicare & Medicaid Services reports and published in multiple venues, such as the Journal of Health Economics, the Journal of Human Resources, Health Services Research, The American Statistician, and JAMA Cardiology. He lives in Silverton, Colorado.