Christian B. Hansen is the Wallace W. Booth Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. He joined the University of Chicago in 2004 after receiving his PhD in economics from the¬†Massachusetts Institute of Technology.¬† Prior to studying for his PhD, Hansen graduated from Brigham Young University with a bachelor’s degree in economics in 2000.

Professor Hansen studies applied and theoretical econometrics.¬† His research has chiefly been in the areas of the use of high-dimensional statistical methods in economic applications, estimation of panel data models, inference using clustered standard errors, quantile regression, and weak instruments. Hansen’s most recent research has looked at the use of machine learning methods in problems involving estimation of causal and policy effects.

For further details, please see Professor Hansen’s CV.