Aislinn Bohren is an Associate Professor in the Economics Department at the University of Pennsylvania. She studies various topics in microeconomics with a focus on information, learning and discrimination. Her research explores questions related to learning under model misspecification, discrimination with inaccurate beliefs, information aggregation, moral hazard and the econometrics of randomized experiments. The work on discrimination has both theoretical and empirical components, and builds on her research on learning under model misspecification.
Ging Cee Ng is a Ph.D. student in economics with interests in Microeconomic Theory and Public Economics. Prior to Chicago, she worked in the Research and Statistics Group at the Federal Reserve Bank of New York, where she worked on research and policy projects in corporate finance, monetary policy, and macroeconomics.