Justin McCrary

Paul J. Evanson Professor of Law,
Columbia Law School;
Senior Advisor, Cornerstone Research

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  • Celeste C. Saravia
  • Samid Hussain
  • Rainer Schwabe
  • Bryan M. Ricchetti

or any member of our senior staff.


Justin McCrary is a leading expert on statistical methods and economic modeling, with a focus on antitrust and competition, labor, and consumer product matters. Professor McCrary has testified on class certification, antitrust, labor, and statistics issues. His wide-ranging experience covers numerous industries and markets, such as automotive, commodities, technology, healthcare, life sciences, finance, telecommunications, and retail.

Antitrust and competition

Professor McCrary testifies in complex antitrust and competition matters in various industries. His experience includes:

  • In a significant matter in a high-tech industry, he addressed allegations of a conspiracy to fix prices and also analyzed and rebutted an opposing expert’s damages model. In another matter, he analyzed damages resulting from alleged collusion among pharmacies.
  • On behalf of a global food and agriculture corporation, Professor McCrary evaluated an alleged conspiracy to manipulate wheat futures and options contracts.
  • Professor McCrary has experience in multiple large and complex antitrust class actions involving financial markets. For example, he addressed statistical sampling of alleged cartel communications in In re Foreign Exchange Benchmark Rates Antitrust Litigation.
  • Professor McCrary rebutted damages in a case alleging that a large software provider maintained its monopoly position through anticompetitive practices, including exclusionary contracting. The client prevailed in a confidential arbitration proceeding.
  • Professor McCrary has provided testimony in antitrust matters involving intellectual property. For example, in Palm Beach Tanning Inc. et al. v. Sunless Inc., an antitrust counterclaim filed in response to a trademark case, he analyzed Section 1 and 2 tying allegations and issues related to the Robinson-Patman Act.
  • In the telecommunications industry, Professor McCrary served as a consulting expert for the U.S. Department of Justice in its review of AT&T’s acquisition of T-Mobile.

Professor McCrary has wide-ranging labor markets expertise. His representative experience includes:

  • 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 class certification issues. 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 testified on class certification issues in a high-profile gender discrimination case focused on pay and promotion outcomes at a large U.S. retailer. The judge subsequently denied certification of the plaintiffs’ proposed class.
  • Defense counsel retained Professor McCrary to analyze merits and damages issues in Morgan et al. v. U.S. Soccer Federation Inc., a gender pay discrimination class action. Citing Professor McCrary’s expert report in his order, the judge ruled in favor of the defendant’s motion for summary judgment.
  • Defense counsel in Robinson et al. v. Jackson Hewitt Inc. and Tax Services of America retained Professor McCrary to analyze allegations that franchise no-poaching agreements restricted mobility and suppressed compensation.
Consumer fraud and product liability

Professor McCrary has testified in multiple matters alleging product liability, false advertising, and breach of contract. For example, in Beaty v. Ford Motor Company, a product liability matter involving alleged automotive defects, he provided class certification and damages rebuttal testimony.

Serving as an expert in high-profile consumer class actions, Professor McCrary has conducted empirical analyses and provided testimony on issues related to causation, liability, and damages. He has also rebutted damages models using a variety of empirical techniques, including conjoint analysis and hedonic regressions.

Statistical methods and analysis

The founding director of the Social Sciences Data Laboratory (D-Lab) at the University of California, Berkeley, Professor McCrary is an authority on high-performance computing and statistical techniques.

He has testified on sampling, probability theory, and statistical methods. In the closely watched matter, In Re Twitter Inc. v. Elon Musk et al., he was retained to address allegations regarding the statistical sampling methods employed by Twitter in analyzing spam and fake accounts.

Professor McCrary has examined the statistical evidence for healthcare providers’ alleged overbilling of Medicare in both government audit and False Claims Act (FCA) matters. He also has substantial experience with mortgage-backed securities matters, including rebuttals to analyses invoking matching estimators.

Research and teaching

Professor McCrary publishes research on econometric methods, including on 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 coauthor, 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 (NBER).

Before joining Columbia University, Professor McCrary taught at the School of Law at the University of California, Berkeley.


Public Workshops on the 2023 Draft Merger Guidelines

Press Release

WWL: Competition Global Leaders and Consulting Experts 2023

Press Release

WWL: Thought Leaders USA—Competition—Economists 2023


50th Annual Conference on International Antitrust Law and Policy, and Antitrust Economics Workshop

Press Release

Cornerstone Research Staff and Affiliated Experts Submit Comments on the Joint FTC-DOJ Draft Merger Guidelines


Accounting for the Employee-Employer Relationship in Antitrust Analysis


In Re Twitter Inc. v. Elon Musk et al.


United States et al. v. Sava Senior Care Inc. et al.

  • 2nd Competition and IP Policy in High-Technology Industries Conference, Cornerstone Research and the Stanford Institute for Economic Policy Research (SIEPR), 19 April 2016
  • “Private Enforcement in the Financial Services: Risks & Opportunities of Financial Antitrust Litigation,” 4th Annual Antitrust in the Financial Sector: Hot Issues and Global Perspectives, Concurrences Review, 22 September 2020
  • “Expert Testimony of the Future: Machine Learning and How It Will Impact Litigation,” Litigation Section of the Bar Association of San Francisco, 12 July 2017
  • “Expert Testimony of the Future: Machine Learning,” American Bar Association Section of Antitrust Law Spring Meeting, 29 March 2017