Max H. McDonald is a Research Data Analyst at the California Department of Health Care Services, where he conducts applied demographic and economic analysis to support Medi-Cal enrollment and expenditure forecasting. He holds a Master of Public Administration and a Graduate Certificate in Demographic Research Methods from the University of Washington and is currently an MBA student at UC Berkeley Haas. His research interests focus broadly on applied demography and public economics, with particular attention to social insurance programs, population health, and fiscal forecasting. He is especially interested in how demographic change and policy design shape enrollment dynamics and public expenditures. Current and recent work examines policy-driven enrollment trends in Medicaid and the relationship between demographic change, climate-related shocks, and public health expenditures.
- Here's a link to my publication with Professor Neil Koblitz (UW Math): One Bad Formula Can Spoil Everything: A Simple Adjustment That Would Improve the UN's Gender Inequality Index
