Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms
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- Matthias Hettich, 2021. "Algorithmic Collusion: Insights from Deep Learning," CQE Working Papers 9421, Center for Quantitative Economics (CQE), University of Muenster.
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
- Fershtman, Chaim & Asker, John & Pakes, Ariel, 2021.
"Artificial intelligence and Pricing: The Impact of Algorithm Design,"
CEPR Discussion Papers
15880, C.E.P.R. Discussion Papers.
- John Asker & Chaim Fershtman & Ariel Pakes, 2021. "Artificial Intelligence and Pricing: The Impact of Algorithm Design," NBER Working Papers 28535, National Bureau of Economic Research, Inc.
- Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022.
"Artificial intelligence and systemic risk,"
Journal of Banking & Finance, Elsevier, vol. 140(C).
- Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
- Hongmin Li & Woonghee Tim Huh, 2011. "Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 549-563, October.
- Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
- Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
- William L. Cooper & Tito Homem-de-Mello & Anton J. Kleywegt, 2015. "Learning and Pricing with Models That Do Not Explicitly Incorporate Competition," Operations Research, INFORMS, vol. 63(1), pages 86-103, February.
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Cited by:
- Thomas Loots & Arnoud V. den Boer, 2023. "Data‐driven collusion and competition in a pricing duopoly with multinomial logit demand," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1169-1186, April.
- Diwas Paudel & Tapas K. Das, 2024. "Multi-agent Deep Reinforcement Learning for Dynamic Pricing by Fast-charging Electric Vehicle Hubs in ccompetition," Papers 2401.15108, arXiv.org.
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Keywords
keywords;JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L44 - Industrial Organization - - Antitrust Issues and Policies - - - Antitrust Policy and Public Enterprise, Nonprofit Institutions, and Professional Organizations
- K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-10-03 (Big Data)
- NEP-CMP-2022-10-03 (Computational Economics)
- NEP-COM-2022-10-03 (Industrial Competition)
- NEP-IND-2022-10-03 (Industrial Organization)
- NEP-LAW-2022-10-03 (Law and Economics)
- NEP-REG-2022-10-03 (Regulation)
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