Complexity-Minded Antitrust
Journal of Evolutionary Economics (2023)
30 Pages Posted: 22 Mar 2022 Last revised: 17 Mar 2023
Date Written: July 29, 2022
Abstract
Complexity science permeates the policy spectrum but not antitrust. This is unfortunate. Complexity science provides a high-resolution screen on the empirical realities of markets. And it enables a rich understanding of competition, beyond the reductionist descriptions of markets and firms proposed by neoclassical models and their contemporary neo-Brandeisian critique. New insights arise from the key teachings of complexity science, 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: Suggested Citation