Jiafeng Chen

Jiafeng Chen is a Lecturer in the Department of Economics at Stanford University. Their research focuses on Applied Microeconomics and Microeconomic Theory. Chen's work contributes to the understanding of economic behavior and policy implications within these fields. They are affiliated with the Department of Economics and maintain a research website for further information on their scholarly activities.

Jiafeng Chen is a researcher specializing in Econometrics, Economics, Statistics, and Machine Learning. Their work focuses on econometric methods, treatment effects, and statistical inference, with applications in economics and policy analysis. Chen's research includes semiparametric estimation, synthetic control methods, and empirical Bayes techniques. They have explored issues such as measurement error, over-identification, and nonparametric identification in various contexts. Additionally, Chen has contributed to the understanding of auction mechanisms and financial fundamentals through a semantic approach. Their publications often address challenges in causal inference and statistical modeling, emphasizing robust and efficient estimation techniques.