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Autonomous algorithmic collusion: economic research and policy implications

Authors: Stephanie Assad; Emilio Calvano; Giacomo Calzolari; Robert Clark; Vincenzo Denicolò; Daniel Ershov; Justin Johnson; +4 Authors

Autonomous algorithmic collusion: economic research and policy implications

Abstract

Abstract Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.

Countries
United Kingdom, Italy, France, France, France
Keywords

Antitrust, Platforms, 330, JEL: D - Microeconomics/D.D4 - Market Structure, Quantity Discounts, Algorithmic Pricing, Settore SECS-P/01 - ECONOMIA POLITICA, Competition Policy, Artificial Intelligence, Resale Price Maintenance, Algorithmic Pricing, Antitrust, Competition Policy, Artificial Intelligence, Collusion., [SHS.ECO] Humanities and Social Sciences/Economics and Finance, B- ECONOMIE ET FINANCE, Collusion, Platforms., JEL: L - Industrial Organization/L.L4 - Antitrust Issues and Policies/L.L4.L42 - Vertical Restraints • Resale Price Maintenance • Quantity Discounts, and Design/D.D4.D42 - Monopoly, and Uncertainty/D.D8.D82 - Asymmetric and Private Information • Mechanism Design, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, JEL: D - Microeconomics/D.D8 - Information, Mechanism DesignL42 - Vertical Restraints, Knowledge, Collusion., D42 - MonopolyD82 - Asymmetric and Private Information, algorithmic pricing, antitrust, competition policy, artificial intelligence, collusion, platforms, Pricing

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
hybrid