Faculty & Research

Max Farrell

Max Farrell

Associate Professor of Econometrics and Statistics

Max H. Farrell studies econometric theory and applied econometrics. His research focus on machine learning, high-dimensional data, and robust semiparametric methods, with a focus on increasing reliability and implementability in data analysis. His publications appear in the Review of Economics and Statistics, the Journal of Econometrics, the Annals of Statistics, the Journal of the American Statistical Association, and others.

Farrell earned a Ph.D. in economics from the University of Michigan, as well as an M.A. in statistics. Farrell pursued undergraduate studies at the Massachusetts Institute of Technology where he earned S.B. degrees in mathematics and economics. He has experience teaching statistics and econometrics at the undergraduate, masters, and graduate level.

Prior to his graduate studies, Farrell worked at the Center for Research on Health Care at the University of Pittsburgh and at Analysis Group, Inc, where he worked on a variety of statistical and economic consulting issues.

 

2019 - 2020 Course Schedule

Number Title Quarter
41100 Applied Regression Analysis 2019 (Fall)
41600 Econometrics and Statistics Colloquium 2019 (Fall)

2020 - 2021 Course Schedule

Number Title Quarter
41100 Applied Regression Analysis 2020 (Fall)