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Algorithmic Pricing What Implications for Competition Policy?

Citations

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Cited by:

  1. Martin, Simon & Rasch, Alexander, 2024. "Demand forecasting, signal precision, and collusion with hidden actions," International Journal of Industrial Organization, Elsevier, vol. 92(C).
  2. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  3. Nathalie de Marcellis-Warin & Frédéric Marty & Eva Thelisson & Thierry Warin, 2020. "Artificial Intelligence and Market Manipulations: Ex-ante Evaluation in the Regulator's Arsenal," CIRANO Working Papers 2020s-64, CIRANO.
  4. Jacques Thépot, 2021. "Pricing algorithms in oligopoly with decreasing returns," Theory and Decision, Springer, vol. 91(4), pages 493-515, November.
  5. 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).
  6. Herz, Benedikt & Mejer, Malwina, 2021. "The effect of design protection on price and price dispersion: Evidence from automotive spare parts," International Journal of Industrial Organization, Elsevier, vol. 79(C).
  7. Régis Chenavaz & Corina Paraschiv & Gabriel Turinici, 2021. "Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach," Dynamic Games and Applications, Springer, vol. 11(3), pages 463-490, September.
  8. Michele Bisceglia & Jorge Padilla, 2023. "On sellers' cooperation in hybrid marketplaces," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 207-222, January.
  9. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  10. O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
  11. Ivan Conjeaud, 2023. "Algorithmic collusion under competitive design," Papers 2312.02644, arXiv.org, revised Sep 2024.
  12. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
  13. Xavier Vives, 2024. "La competencia en los mercados digitales," Working Papers 2024-01, FEDEA.
  14. Victoria Stanciu & Sinziana-Maria Rindasu, 2021. "Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-46, February.
  15. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
  16. Herz, Benedikt & Mejer, Malwina, 2020. "The effect of design protection on price and price dispersion: Evidence from automotive spare parts," MPRA Paper 104137, University Library of Munich, Germany, revised 01 Nov 2020.
  17. Wolfram Barfuss & Janusz Meylahn, 2022. "Intrinsic fluctuations of reinforcement learning promote cooperation," Papers 2209.01013, arXiv.org, revised Feb 2023.
  18. Nungsari, Melati & Flanders, Sam, 2020. "Using classroom games to teach core concepts in market design, matching theory, and platform theory," International Review of Economics Education, Elsevier, vol. 35(C).
  19. Joshua A. Gerlick & Stephan M. Liozu, 2020. "Ethical and legal considerations of artificial intelligence and algorithmic decision-making in personalized pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 85-98, April.
  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. Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
  22. Alderighi, Marco & Gaggero, Alberto A. & Piga, Claudio A., 2022. "Hidden prices with fixed inventory: Evidence from the airline industry," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 42-61.
  23. 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.
  24. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
  25. Grazia Cecere & Thierry Pénard, 2020. "Introduction to the Special Issue: “From The digital economy to the digitalization of the economy”," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 11-17.
  26. Frédéric Marty & Thierry Warin, 2023. "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," CIRANO Working Papers 2023s-26, CIRANO.
  27. Nunan, Daniel & Di Domenico, MariaLaura, 2022. "Value creation in an algorithmic world: Towards an ethics of dynamic pricing," Journal of Business Research, Elsevier, vol. 150(C), pages 451-460.
  28. Karsten T. Hansen & Kanishka Misra & Mallesh M. Pai, 2021. "Frontiers: Algorithmic Collusion: Supra-competitive Prices via," Marketing Science, INFORMS, vol. 40(1), pages 1-12, January.
  29. Harold Houba & Evgenia Motchenkova & Hui Wang, 2022. "Personalized Pricing, Competition and Welfare," Tinbergen Institute Discussion Papers 22-020/VII, Tinbergen Institute.
  30. Hillen, Judith & Fedoseeva, Svetlana, 2021. "E-commerce and the end of price rigidity?," Journal of Business Research, Elsevier, vol. 125(C), pages 63-73.
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