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Algorithms, Machine Learning, And Collusion

Citations

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Cited by:

  1. Stefano Colombo & Aldo Pignataro, 2022. "Information accuracy and collusion," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 638-656, August.
  2. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  3. Plekhanov, Dmitry & Franke, Henrik & Netland, Torbjørn H., 2023. "Digital transformation: A review and research agenda," European Management Journal, Elsevier, vol. 41(6), pages 821-844.
  4. Igor Sadoune & Marcelin Joanis & Andrea Lodi, 2025. "Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2029-2056, April.
  5. John Asker & Chaim Fershtman & Ariel Pakes, 2024. "The impact of artificial intelligence design on pricing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 276-304, March.
  6. Patrice Bougette & Oliver Budzinski & Frédéric Marty, 2024. "Ex-ante versus Ex-post in Competition Law Enforcement: Blurred Boundaries and Economic Rationale," GREDEG Working Papers 2024-18, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Apr 2025.
  7. Juan Manuel Sánchez-Cartas & Alberto Tejero & Gonzalo León, 2021. "Algorithmic Pricing and Price Gouging. Consequences of High-Impact, Low Probability Events," Sustainability, MDPI, vol. 13(5), pages 1-14, February.
  8. Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  9. Xingchen Xu & Stephanie Lee & Yong Tan, 2023. "Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems," Papers 2309.14548, arXiv.org, revised Dec 2024.
  10. 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.
  11. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  12. Oliver Budzinski & Victoriia Noskova & Xijie Zhang, 2019. "The brave new world of digital personal assistants: benefits and challenges from an economic perspective," Netnomics, Springer, vol. 20(2), pages 177-194, December.
  13. Florian Peiseler & Alexander Rasch & Shiva Shekhar, 2022. "Imperfect information, algorithmic price discrimination, and collusion," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 516-549, April.
  14. Budzinski, Oliver & Kuchinke, Björn, 2018. "Modern industrial organization theory of media markets and competition policy implications," Ilmenau Economics Discussion Papers 115, Ilmenau University of Technology, Institute of Economics.
  15. João E. Gata, 2019. "Controlling Algorithmic Collusion: short review of the literature, undecidability, and alternative approaches," Working Papers REM 2019/77, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  16. Oliver Budzinski & Annika Stöhr, 2019. "Competition policy reform in Europe and Germany – institutional change in the light of digitization," European Competition Journal, Taylor & Francis Journals, vol. 15(1), pages 15-54, January.
  17. Wolfram Barfuss & Janusz Meylahn, 2022. "Intrinsic fluctuations of reinforcement learning promote cooperation," Papers 2209.01013, arXiv.org, revised Feb 2023.
  18. Hanspach, Philip & Sapi, Geza & Wieting, Marcel, 2024. "Algorithms in the marketplace: An empirical analysis of automated pricing in e-commerce," Information Economics and Policy, Elsevier, vol. 69(C).
  19. Gaenssle, Sophia & Budzinski, Oliver, 2019. "Stars in social media: New light through old windows?," Ilmenau Economics Discussion Papers 123, Ilmenau University of Technology, Institute of Economics.
  20. Aleksandar B. Todorov, 2022. "Algorithmic pricing and concerted behaviour – competitive challenges?," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 90-107.
  21. Yui Law & Sinchit Lai & Ning Liu, 2025. "Leniency experiments: an evaluation of external validity," European Journal of Law and Economics, Springer, vol. 59(1), pages 19-76, February.
  22. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
  23. Hans-Theo Normann & Martin Sternberg, 2021. "Human-Algorithm Interaction: Algorithmic Pricing in Hybrid Laboratory Markets," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_11, Max Planck Institute for Research on Collective Goods, revised 13 Apr 2022.
  24. Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
  25. Frédéric Marty & Thierry Warin, 2023. "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," CIRANO Working Papers 2023s-26, CIRANO.
  26. Haucap, Justus, 2021. "Mögliche Wohlfahrtswirkungen eines Einsatzes von Algorithmen," DICE Ordnungspolitische Perspektiven 109, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
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