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Econometrics and Statistics Faculty

Booth is home to preeminent scholars of econometrics and statistics, who regularly incorporate their research into the classroom.

Courses such as Big Data teach students how to model and interpret complicated datasets by leveraging a number of techniques, including linear and logistic regression, model choice and false discovery rates, and multinomial and binary regression, among others. In other courses such as Machine Learning, students learn how machine learning can be used to create value and provide insights from data. In this course, students learn about decision trees, nearest neighbor classifiers, boosting, random forests, deep neural networks, naive Bayes, and support-vector machines.

Other courses such as Analysis of Financial Time Series leverage real-world examples to teach students to analyze financial and macroeconomic data, while Statistical Insight into Marketing, Consulting, and Entrepreneurship leverages econometrics to give future consultants and entrepreneurs important tools and methodologies they can leverage in their careers.

Discover more about our econometrics and statistics faculty, including the classes they teach, below.

Featured Research in Chicago Booth Review

Discover some of the latest research from our econometrics and statistics professors.

Dacheng Xiu

Awards and Honors

“We’re not saying those 300 factors are fake. It may be true that some deliver significant risk premia for investors. But they could also be simply duplicating a few other important factors.”

Dacheng Xiu, commenting on his paper, “Taming the Factor Zoo,” for which he and his two coauthors won the 2018 AQR Insight Award. Booth’s Brent Neiman was also a recipient of the same award in 2018 for a separate paper.

Learn More about the Research

Awards and Honors
Max Farrell

Research with Impact

Recent research from Max Farrell, along with two Booth colleagues, Tengyuan Liang and Sanjog Misra, quantifies the uncertainty that arises when a business leader uses machine learning to analyze data and make a decision on the basis of that analysis. One particular aspect of machine learning, deep learning, has become common in business. What Professor Farrell and his Booth colleagues uncovered could have broad applications—potentially in hospitals, where doctors need to make life-and-death decisions.

Read the Research

Research with Impact

Our MBA Concentrations in This Area

Our PhD Dissertation Areas in This Area

Partnering across the University of Chicago and Beyond

Our econometrics and statistics faculty members are active in and outside of the University of Chicago.

Max Farrell, Christian B. Hansen, Tetsuya Kaji, Mladen Kolar, Tengyuan Liang, Veronika Rockova, and Panos Toulis are each UChicago Scholars at the Becker Friedman Institute’s Big Data Initiative, which uses consumer and business data to improve decision-making. Jeffrey R. Russell is an associate editor of the Journal of Business and Economic Statistics. Ruey S. Tsay is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, the Royal Statistical Society, and Academia Sinica.

Research Spotlight

Discover some of the latest working papers and published papers from our econometrics and statistics faculty.

“Pre-Event Trends in the Panel Event-Study Design”
Christian B. Hansen, with coauthors Simon Freyaldenhoven (Federal Reserve Bank of Philadelphia) and Jesse M. Shapiro (Brown University)

“Lasso Meets Horseshoe: A Survey”
Nicholas Polson, with coauthors Anindya Bhadra (Purdue University), Jyotishka Datta (University of Arkansas at Fayetteville), and Brandon Willard (University of Chicago)

“The Art of BART: On Flexibility of Bayesian Forests”
Veronika Rockova, with coauthor Seonghyun Jeong (University of Chicago, Principal Researcher, Chicago Booth)

Research Centers in This Area

Research centers across Booth and the University of Chicago are hubs for innovation and world-changing research. The centers provide our faculty with research support, and our faculty members lend their expertise to the centers, enriching the student experience and the broader academic community at Booth.