Results 141 to 150 of about 5,279 (162)
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Collusion by code or algorithmic collusion? When pricing algorithms take over

European Competition Journal, 2020
As algorithmic pricing becomes more widespread, the discussion about the extent to which the use of algorithms results in an increase of collusion also intensifies.
Lea Bernhardt, Ralf Dewenter
openaire   +1 more source

Algorithmic Collusion in Assortment Games

SSRN Electronic Journal, 2021
This paper contributes to the ongoing debate on the plausibility of tacit collusion between sellers in algorithmic marketplaces, which can be detrimental to customers and social welfare. We study a broad class of assortment decisions routinely made by sellers on online platforms, including which products are offered to customers, at what price, and how
Ali Aouad, Arnoud V. den Boer
openaire   +1 more source

Algorithmic tacit collusion

SSRN Electronic Journal, 2023
Ariel Ezrachi, Maurice E. Stucke
openaire   +2 more sources

Algorithmic collusion: an interdisciplinary perspective

Published: 20 May 2025 Software programmes based on algorithms have become common in pricing because they outperform humans at automatising tasks in terms of speed, complexity, and accuracy of analysis. In many online markets, repricing algorithms have replaced the human decision maker.
Philip Hanspach, Niccolò Galli
openaire   +2 more sources

Pricing Algorithms as Collusive Devices

SSRN Electronic Journal, 2020
This paper undertakes a critical review of the prospect that self-learning pricing algorithms will lead to widespread collusion independently of the intervention and participation of humans. There is no concrete evidence, no example yet, and no antitrust case that self-learning pricing algorithms have colluded let alone increased the prospect of ...
openaire   +1 more source

Tacit collusion by pricing algorithms

Economic Inquiry
Abstract This article contributes to the debate about the potential of pricing algorithms to collude and earn supra‐competitive profits without explicit communication. By simulating competition among seven algorithms, we demonstrate that: (1) algorithms can reach supra‐competitive prices in a reasonably short time, taking less than ...
Bharat Bhole, Sunita Surana
openaire   +1 more source

Algorithmic Collusion and Algorithmic Compliance: Risks and Opportunities

SSRN Electronic Journal, 2020
Algorithms are becoming ubiquitous in our society. They are powerful and, in some cases, indispensable tools in today’s economy. In terms of the technology, we do not yet have AI sophisticated enough to, with a reasonable degree of certainty, reach autonomous tacit collusion in most real markets.
openaire   +1 more source

Algorithmic Price Recommendations and Collusion

This repository accompanies the paper “Algorithmic Price Recommendations and Collusion: Experimental Evidence,” co-authored by Matthias Hunold and Tobias Werner Contents: - Replication Package: The repository includes a comprehensive "replication_package.zip" file containing: - Raw and processed data. - oTree application used for the experiments.
Werner, Tobias, Hunold, Matthias
openaire   +1 more source

Adaptive Algorithms and Collusion via Coupling

Proceedings of the 24th ACM Conference on Economics and Computation, 2023
Martino Banchio, Giacomo Mantegazza
openaire   +2 more sources

ALGORITHMIC COLLUSION: A REAL PROBLEM FOR COMPETITION POLICY?

2020
Recently, antitrust authorities started to worry about the possible consequences of algorithmic pricing. Indeed, we document that pricing algorithms are already widely used and argue that they are likely to become even more prevalent in the future. In particular, authorities worry about data-driven price discrimination and algorithmic collusion.
Emilio Calvano   +3 more
openaire   +3 more sources

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