Date: 2023
Type: Article
Complexity minded antitrust
Journal of evolutionary economics, 2023, Vol. 33, pp. 541-570
PETIT, Nicolas, SCHREPEL, Thibault, Complexity minded antitrust, Journal of evolutionary economics, 2023, Vol. 33, pp. 541-570
- https://hdl.handle.net/1814/75453
Retrieved from Cadmus, EUI Research Repository
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.
Additional information:
Published online: 17 March 2023
Cadmus permanent link: https://hdl.handle.net/1814/75453
Full-text via DOI: 10.1007/s00191-023-00808-8
ISSN: 0936-9937; 1432-1386
External link: https://link.springer.com/article/10.1007/s00191-023-00808-8
Publisher: Springer
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