Research

Working Papers

The Dubious Impact of State Antitakeover Provisions This version: 2025. [PDF] [Code]

Fixing the Law Review Submission Game This version: 2025. [PDF] [SSRN]

Difference-in-Differences Designs: A Practitioner’s Guide with Brantly Callaway, Scott Cunningham, Andrew Goodman-Bacon, and Pedro Sant’Anna, Forthcoming, Journal of Economic Literature. [arXiv] [Code]

Validating Valuation: How Statistical Learning Can Cabin Expert Discretion in Valuation Disputes with Jonah B. Gelbach and Eric L. Talley, Forthcoming, Journal of Corporation Law. [PDF] [SSRN]

The Effects of Hedge Fund Activism This version: 2021. [PDF]

Published Papers

Statistical Learning Can Help the Judiciary Fulfill Its Gatekeeping Role Over Expert Witnesses Berkeley Business Law Journal, 2025. [PDF]

Diversity Washing with David F. Larcker, Charles G. McClure, Durgesh Saraph, and Edward M. Watts Journal of Accounting Research, 2024. [PDF]

How Much Should We Trust Staggered Difference-in-Differences Estimates? with David F. Larcker and Charles C.Y. Wang Journal of Financial Economics, 144(2), 2022. [PDF] [Code]

Machine Learning and Predicted Returns for Event Studies in Securities Litigation with Jonah B. Gelbach Journal of Law, Finance, and Accounting, 5(2), 2020. [PDF] [Code]

Dual-Class Index Exclusion with Andrew Winden Virginia Law & Business Review, 13(2), 2019. [PDF]

Single-Firm Event Studies, Securities Fraud, and Financial Crisis: Problems of Inference Stanford Law Review, 68, 2016. [PDF] [Code] [Data]