Adelina Wang, PhD, is a Post-Doctoral Fellow at the National Bureau of Economic Research (NBER) and has completed a Ph.D. in Economics at Stanford University.
Her main research and teaching fields are public economics, health economics, applied econometrics, and machine learning. Her research projects analyze how to ensure access to high quality and well-coordinated health and elder care for the vulnerable populations in the U.S., and evaluate hospital care quality as measured by impact of health shocks on labor market outcomes in Denmark. In this process, she develops advanced applied econo-metric methods by integrating cutting-edge big data and machine learning tools with rigorous empirical economic analysis.
