The Efficiency of Patent Litigation

84 Pages Posted: 29 May 2024

See all articles by Samuel Antill

Samuel Antill

Harvard Business School

Murat Alp Celik

University of Toronto - Department of Economics

Xu Tian

University of Georgia - Terry College of Business - Department of Finance

Toni M. Whited

University of Michigan, Department of Economics; National Bureau of Economic Research

Date Written: November 18, 2023

Abstract

How efficient is the U.S. patent litigation system? We quantify the extent to which the litigation system shapes innovation using a novel dynamic model, in which heterogeneous firms innovate and face potential patent lawsuits. We show that the impact of a litigation reform depends on how heterogeneous firms endogenously select into lawsuits. Calibrating the model, we find that weakening plaintiff rights through fewer defendant injunctions increases firm innovation and output growth, improving social welfare by 3.32%. Raising plaintiff pleading requirements, which heightens barriers to filing lawsuits, likewise promotes innovation, boosts output growth, and enhances social welfare.

Keywords: patent litigation, innovation, firm value, growth, social welfare.

JEL Classification: G30, E22, O30, O40, K40.

Suggested Citation

Antill, Samuel and Celik, Murat Alp and Tian, Xu and Whited, Toni M., The Efficiency of Patent Litigation (November 18, 2023). Available at SSRN: https://ssrn.com/abstract=4842424 or http://dx.doi.org/10.2139/ssrn.4842424

Samuel Antill

Harvard Business School ( email )

Soldiers Field Road
Morgan 270C
Boston, MA 02163
United States

Murat Alp Celik

University of Toronto - Department of Economics ( email )

150 St. George St.
Toronto, ON M5S 3G7
Canada

HOME PAGE: http://muratcelik.faculty.economics.utoronto.ca/

Xu Tian

University of Georgia - Terry College of Business - Department of Finance ( email )

620 S Lumpkin St
Athens, GA 30602
United States

HOME PAGE: http://www.xutianur.com

Toni M. Whited (Contact Author)

University of Michigan, Department of Economics ( email )

735 S. State Street
Ann Arbor,, MI 48109

National Bureau of Economic Research ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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