黑料传送门

Academic Areas Econometrics and Statistics Faculty and Research

黑料传送门 Booth is a community that is full of analytical thinkers who believe data leads to discoveries.

In our econometrics and statistics academic area, Booth faculty teach students how to analyze business and economic problems by leveraging vast amounts of data using economic, mathematical, and computer techniques.

Our faculty members鈥� groundbreaking research in this area covers a broad spectrum鈥攆rom the uses of high-dimensional data and methods in economics applications to the development of robust forecast evaluation methodologies. Some of this research has led to our faculty winning prestigious awards: Dacheng Xiu was awarded the 2018 AQR Insight Award; Ruey S. Tsay won John Wiley and Sons Author of the Year for his book Analysis of Financial Time Series; Tengyuan Liang and Veronika Rockova are recipients of NSF CAREER awards; Max Farrell was the winner of Political Methodology鈥檚 Best Statistical Software Award; and Panagiotis Toulis was the recipient of the LinkedIn Economic Graph Challenge award.

Econometrics and statistics professors at Booth are regularly published in top journals, including American Economic Review; Annals of Statistics; Biometrika; Econometrica; Journal of the American Statistical Association; Journal of Machine Learning Research; Journal of Political Economy; Journal of the Royal Statistical Society: Series B; and Review of Economic Studies.

Some faculty in this area are also active at a number of top machine learning conferences, including COLT, NeurIPS, AISTATS, and ICML. Many are active in organizations and initiatives, including in the American Statistical Association and the Becker Friedman Institute for Economics鈥� Big Data Initiative.

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 黑料传送门 Booth Review

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

Booth鈥檚 Panos Toulis suggests a statistical method that can help officials arrive at more accurate infection counts.

Research by Booth’s Ekaterina Smetanina reveals a technique for estimating how well models perform under general conditions.

Machine learning is being tasked with an increasing number of important decisions. But the answers it generates involve a degree of uncertainty.

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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.



Awards and Honors
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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.

Research with Impact

Our MBA Concentrations in This Area

Our PhD Dissertation Areas in This Area

Partnering across the University of 黑料传送门 and Beyond

Our econometrics and statistics faculty members are active in and outside of the University of 黑料传送门.

Max Farrell, Christian B. Hansen, Tetsuya Kaji, Mladen Kolar, Tengyuan Liang, Veronika Rockova, and Panos Toulis are each U黑料传送门 Scholars at the Becker Friedman Institute鈥檚 , which uses consumer and business data to improve decision-making. Jeffrey R. Russell is an associate editor of the . Ruey S. Tsay is a fellow of the , the , the , and .

Research Spotlight

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


Christian B. Hansen, with coauthors Simon Freyaldenhoven (Federal Reserve Bank of Philadelphia) and Jesse M. Shapiro (Brown University)


Nicholas Polson, with coauthors Anindya Bhadra (Purdue University), Jyotishka Datta (University of Arkansas at Fayetteville), and Brandon Willard (University of 黑料传送门)


Veronika Rockova, with coauthor Seonghyun Jeong (University of 黑料传送门, Principal Researcher, 黑料传送门 Booth)

Research Centers in This Area

Research centers across Booth and the University of 黑料传送门 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.

Bringing together researchers from the entire 黑料传送门 economics community, the Becker Friedman Institute for Economics fosters novel insights on the world鈥檚 most difficult economic problems.

See Our Other Academic Areas

Accounting  Behavioral Science  Econometrics and Statistics  Entrepreneurship  Finance  Macroeconomics  Marketing  Microeconomics  Operations Management  Organizations and Markets  Strategy and Leadership