Complexity-minded antitrust

Nicolas Petit and Thibault Schrepel ()
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Thibault Schrepel: Vrije Universiteit Amsterdam

Journal of Evolutionary Economics, 2023, vol. 33, issue 2, No 9, 570 pages

Abstract: 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; Neoclassical economics (search for similar items in EconPapers)
JEL-codes: K00 K20 K21 L10 L12 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00191-023-00808-8

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