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个人简介
Max H. Farrell is an Associate Professor at the University of Chicago Booth School. His research spans machine learning, high-dimensional data, and robust semiparametric and nonparametric methods, focusing on mathematical and statistical problems. Recent work has studied deep learning and its applications in economics and business applications. His research includes developing new methodology as well as increasing reliability and implementability in real-world social science applications, with an emphasis on causal inference and program evaluation. His novel analysis methods have been developed into award-winning open source software.
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American Economic Reviewno. 5 (2024): 1488-1514
arxiv(2022)
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arXiv: Econometricsno. 4 (2022): 2998-3022
arXiv (Cornell University) (2020)
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JOURNAL OF STATISTICAL SOFTWAREno. 8 (2019): 1-33
R JOURNALno. 1 (2019): 172-187
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