IDEAS home Printed from https://ideas.repec.org/r/tse/wpaper/124696.html
   My bibliography  Save this item

Platform Design when Sellers Use Pricing Algorithms

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


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. 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).
  4. 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.
  5. Gilbert, Richard J., 2021. "Separation: A Cure for Abuse of Platform Dominance?," Information Economics and Policy, Elsevier, vol. 54(C).
  6. Zhang Xu & Mingsheng Zhang & Wei Zhao, 2024. "Algorithmic Collusion and Price Discrimination: The Over-Usage of Data," Papers 2403.06150, arXiv.org.
  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. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
  10. 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).
  11. Ivan Conjeaud, 2023. "Algorithmic collusion under competitive design," Papers 2312.02644, arXiv.org, revised Sep 2024.
  12. Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," CEPR Discussion Papers 15738, C.E.P.R. Discussion Papers.
  13. Calvano, Emilio & Calzolari, Giacomo & Denicoló, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," International Journal of Industrial Organization, Elsevier, vol. 79(C).
  14. Mark J. Tremblay, 2020. "The Limits of Marketplace Fee Discrimination," Working Papers 20-10, NET Institute.
  15. 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.
  16. Daniele Condorelli & Massimiliano Furlan, 2023. "Cheap Talking Algorithms," Papers 2310.07867, arXiv.org, revised Jun 2024.
  17. Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
  18. Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
  19. Jin Li & Ye Luo & Xiaowei Zhang, 2021. "Causal Reinforcement Learning: An Instrumental Variable Approach," Papers 2103.04021, arXiv.org, revised Sep 2022.
  20. Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024. "Algorithmic Collusion by Large Language Models," Papers 2404.00806, arXiv.org.
  21. Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
  22. 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.
  23. Jay Pil Choi & Kyungmin Kim & Arijit Mukherjee, 2023. "“Sherlocking” and Platform Information Policy," CESifo Working Paper Series 10769, CESifo.
  24. Epivent, Andréa & Lambin, Xavier, 2024. "On algorithmic collusion and reward–punishment schemes," Economics Letters, Elsevier, vol. 237(C).
  25. Soumen Banerjee, 2023. "Combating Algorithmic Collusion: A Mechanism Design Approach," Papers 2303.02576, arXiv.org, revised Jul 2023.
  26. Norman, Thomas W.L., 2023. "Pigouvian algorithmic platform design," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 322-332.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.