I am a health economist interested in U.S. health policy, insurance design, and behavioral nudges and frictions in the policy space. I’m currently an Associate Analyst in the Health Analysis Division of the Congressional Budget Office, working on health insurance modelling and Medicaid, in particular the maintenance of eligibility policies during the pandemic. I obtained my PhD in Health Policy/Economics from the University of California, Berkeley–my job market paper involved a randomized control trial in partnership with a large Northwest U.S. health care system to improve advance directive completion in older adults through written reminders and gentle nudges in a behavioral economics framework. My current projects relate to Medicaid enrollment, insurance plan choices, end-of-life care, death anxiety and frictions, and how patients make decisions in the face of these issues.
My prior experience and education includes over two years on the Professional Billing Implementation team at Epic, a B.A. in economics from Dartmouth College, and a M.A. in economics from the University of California, Berkeley.
A copy of my CV can be found here (last updated: December 2022).
Nianyi Hong 