Justin McCrary is an expert on statistical methods and economic modeling at the intersection of law and economics. Professor McCrary has testified on issues related to class certification, antitrust, labor, and statistics. His experience covers a range of industries and markets, including healthcare, life sciences, labor, telecommunications, high tech, and retail.
Professor McCrary provided testimony in two seminal no-poach litigation matters involving the McDonald’s and Jimmy John’s franchises. In both matters, he analyzed the potential procompetitive benefits of the challenged clauses and opined on issues of class certification. Class certification was denied in both cases, with both U.S. district court judges relying on Professor McCrary’s analyses in their opinions.
Professor McCrary has testified on class certification issues in a high-profile gender discrimination case focused on pay and promotion outcomes at a large U.S. retailer. He has also filed reports on class certification issues in false advertising, product liability, and breach of contract matters.
Professor McCrary has extensive experience as an expert in antitrust cases. In a significant matter in a high-tech industry, he addressed allegations of conspiracy to fix prices, as well as analyzed and rebutted an opposing expert’s damages model. He has analyzed damages resulting from alleged collusion among pharmacies in South America. In AT&T’s acquisition of T-Mobile, Professor McCrary served as a consulting expert for the U.S. Department of Justice.
Statistical methods and analysis
An authority on high-performance computing and statistical techniques, Professor McCrary has testified at deposition on sampling, probability theory, and statistical methods. His experience includes multiple mortgage-backed securities and insider trading matters. He has also examined the statistical evidence for alleged overbilling of Medicare by healthcare providers in both government audit and False Claim Act matters.
Research and teaching
Professor McCrary has published research on econometric methods for measuring damages in antitrust litigation. In addition, his scholarship covers a wide range of topics, including employment discrimination, high-frequency trading, financial market structure, and monetary policy. A prolific author and co-author, his work has appeared in leading journals, including the American Economic Review, the Journal of Econometrics, and the Review of Economics and Statistics. Professor McCrary is a faculty research associate at the National Bureau of Economic Research.
Prior to joining Columbia University, Professor McCrary taught at the School of Law at the University of California, Berkeley. He is the founding director of the UC Berkeley Social Sciences Data Laboratory, or “D-Lab,” which focuses on emerging big data techniques in social science research.