Complexity-Minded Antitrust

26 Pages Posted: 22 Mar 2022

See all articles by Nicolas Petit

Nicolas Petit

European University Institute - Department of Law (LAW)

Thibault Schrepel

University Paris 1 Panthéon-Sorbonne; VU University Amsterdam; Stanford University's Codex Center; Sciences Po

Date Written: March 7, 2022

Abstract

Complexity science is widely used across the policy spectrum but not in antitrust. This is unfortunate. Complexity science enables a rich understanding of competition beyond the simplistic descriptions of markets and firms proposed by neoclassical models and their contemporary neo-Brandeisian critique. Many novel insights can be gained by supporting more openness to some of its key teachings, like feedback loops and the role of uncertainty. The present article lays down the building blocks of a complexity-minded antitrust method.

Keywords: Complexity theory, antitrust, evolutionary economics, feedback loop, uncertainty, nonlinearity, neoclassical economics

JEL Classification: K21, K20, K00, L12, L10, L13, L22, L40, L41, L44, L43, L50, L51, B40, D11, D42

Suggested Citation

Petit, Nicolas and Schrepel, Thibault, Complexity-Minded Antitrust (March 7, 2022). Available at SSRN: https://ssrn.com/abstract=4050536 or http://dx.doi.org/10.2139/ssrn.4050536

Nicolas Petit

European University Institute - Department of Law (LAW) ( email )

Via Bolognese 156 (Villa Salviati)
50-139 Firenze
Italy

Thibault Schrepel (Contact Author)

University Paris 1 Panthéon-Sorbonne ( email )

France

VU University Amsterdam ( email )

De Boelelaan 1105
1081 HV Amsterdam
Netherlands

Stanford University's Codex Center ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

Sciences Po ( email )

27 rue Saint-Guillaume
Paris Cedex 07, 75337
France

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
1,505
Abstract Views
3,956
rank
17,430
PlumX Metrics