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Platform Design when Sellers Use Pricing Algorithms

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. Bernhard Kasberger & Simon Martin & Hans-Theo Normann & Tobias Werner, 2024. "Algorithmic Cooperation," CESifo Working Paper Series 11124, CESifo.
  3. 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.
  4. Teh, Christopher & Wang, Chengsi & Watanabe, Makoto, 2024. "Strategic limitation of market accessibility: Search platform design and welfare," Journal of Economic Theory, Elsevier, vol. 216(C).
  5. Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolò & Daniel Ershov & Justin Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021. "Autonomous algorithmic collusion: economic research and policy implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 459-478.
  6. Gilbert, Richard J., 2021. "Separation: A Cure for Abuse of Platform Dominance?," Information Economics and Policy, Elsevier, vol. 54(C).
  7. Zhang Xu & Mingsheng Zhang & Wei Zhao, 2024. "Algorithmic Collusion and Price Discrimination: The Over-Usage of Data," Papers 2403.06150, arXiv.org.
  8. 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.
  9. 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).
  10. Hanna Halaburda & Jeffrey Prince & D. Daniel Sokol & Feng Zhu, 2024. "The business revolution: Economy‐wide impacts of artificial intelligence and digital platforms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 269-275, March.
  11. Martin Peitz, 2024. "The Economic Theory of Two-Sided Platforms," CRC TR 224 Discussion Paper Series crctr224_2024_584, University of Bonn and University of Mannheim, Germany.
  12. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  13. Belleflamme, Paul & Johnen, Johannes, 2023. "Non-Price Strategies of Marketplaces: A Survey," LIDAM Discussion Papers CORE 2023015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  14. Ivan Conjeaud, 2023. "Algorithmic collusion under competitive design," Papers 2312.02644, arXiv.org, revised Sep 2024.
  15. Calvano, Emilio & Calzolari, Giacomo & Denicoló, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," International Journal of Industrial Organization, Elsevier, vol. 79(C).
  16. Mark J. Tremblay, 2020. "The Limits of Marketplace Fee Discrimination," Working Papers 20-10, NET Institute.
  17. Alessandro De Chiara & Ester Manna & Antoni Rubí-Puig & Adrian Segura-Moreiras, 2021. "Efficient copyright filters for online hosting platforms," Working Papers 21-03, NET Institute.
  18. Daniele Condorelli & Massimiliano Furlan, 2023. "Cheap Talking Algorithms," Papers 2310.07867, arXiv.org, revised Oct 2024.
  19. Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
  20. Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
  21. Jin Li & Ye Luo & Zigan Wang & Xiaowei Zhang, 2021. "Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity," Papers 2103.04021, arXiv.org, revised Dec 2024.
  22. Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024. "Algorithmic Collusion by Large Language Models," Papers 2404.00806, arXiv.org, revised Nov 2024.
  23. Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
  24. Chengsi Wang & Makoto Watanabe, 2021. "Directed Search on a Platform: Meet Fewer to Match More," Monash Economics Working Papers 2021-02, Monash University, Department of Economics.
  25. Zhang Xu & Wei Zhao, 2024. "On Mechanism Underlying Algorithmic Collusion," Papers 2409.01147, arXiv.org.
  26. Jay Pil Choi & Kyungmin Kim & Arijit Mukherjee, 2023. "“Sherlocking” and Platform Information Policy," CESifo Working Paper Series 10769, CESifo.
  27. Epivent, Andréa & Lambin, Xavier, 2024. "On algorithmic collusion and reward–punishment schemes," Economics Letters, Elsevier, vol. 237(C).
  28. Soumen Banerjee, 2023. "Combating Algorithmic Collusion: A Mechanism Design Approach," Papers 2303.02576, arXiv.org, revised Jul 2023.
  29. Norman, Thomas W.L., 2023. "Pigouvian algorithmic platform design," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 322-332.
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