Dr. Jason Gibbons is a health economist whose research focuses on pharmaceutical competition, drug pricing reform, and the comparative effectiveness of medication treatments. His work spans empirical health economics, regulatory policy, and pharmacoepidemiology, with a particular emphasis on market dynamics in the pharmaceutical industry and drug safety and efficacy. He is also actively engaged in research on mental health and substance use disorder treatment, examining how medication access and use reduce adverse health outcome risk and improve population health.
Methodologically, Dr. Gibbons employs modern causal inference techniques to generate actionable evidence from large-scale administrative data, including Medicare, Medicaid, and commercial claims. He is particularly interested in identifying heterogeneous treatment effects and evaluating the real-world consequences of pharmaceutical and regulatory policies. He also leverages cutting-edge causal machine learning methods to develop predictive models that guide optimal sequencing and selection of medication therapies for individual patients.
Dr. Gibbons holds an undergraduate degree in Economics from the University of Chicago, a PhD in Health Services Organization & Policy with a concentration in economics from the University of Michigan and completed postdoctoral training in mental health policy at John’s Hopkins University. Dr. Gibbons collaborates closely with state policymakers and academic partners to support antitrust enforcement, promote pharmaceutical affordability, and improve prescriber decision-making.
