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Information accuracy and collusion

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  • Stefano Colombo
  • Aldo Pignataro

Abstract

In this study, we investigate firms' ability to collude when price discrimination based on the inherited market is possible, but the information accuracy about the inherited market is imperfect. We show that the level of information accuracy affects collusion sustainability nonmonotonically, according to the starting level of information and the consumers' reservation price. Moreover, we show that banning price discrimination might increase the sustainability of tacit collusion.

Suggested Citation

  • Stefano Colombo & Aldo Pignataro, 2022. "Information accuracy and collusion," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 638-656, August.
    • Handle: RePEc:bla:jemstr:v:31:y:2022:i:3:p:638-656
    DOI: 10.1111/jems.12477
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    1. Amit Pazgal & David Soberman, 2008. "Behavior-Based Discrimination: Is It a Winning Play, and If So, When?," Marketing Science, INFORMS, vol. 27(6), pages 977-994, 11-12.
    2. Rosa-Branca Esteves, 2014. "Price Discrimination with Private and Imperfect Information," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 766-796, July.
    3. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    4. Helfrich, Magdalena & Herweg, Fabian, 2016. "Fighting collusion by permitting price discrimination," Economics Letters, Elsevier, vol. 145(C), pages 148-151.
    5. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    6. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    7. Gehrig, Thomas & Shy, Oz & Stenbacka, Rune, 2011. "History-based price discrimination and entry in markets with switching costs: A welfare analysis," European Economic Review, Elsevier, vol. 55(5), pages 732-739, June.
    8. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020. "Artificial Intelligence, Algorithmic Pricing, and Collusion," American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
    9. Joseph E Harrington, 2018. "Developing Competition Law For Collusion By Autonomous Artificial Agents," Journal of Competition Law and Economics, Oxford University Press, vol. 14(3), pages 331-363.
    10. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    11. Greg Shaffer & Z. John Zhang, 2000. "Pay to Switch or Pay to Stay: Preference‐Based Price Discrimination in Markets with Switching Costs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 397-424, June.
    12. Abreu, Dilip, 1986. "Extremal equilibria of oligopolistic supergames," Journal of Economic Theory, Elsevier, vol. 39(1), pages 191-225, June.
    13. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2021. "History-Based Price Discrimination with Imperfect Information Accuracy and Asymmetric Market Shares," CESifo Working Paper Series 9049, CESifo.
    14. Abreu, Dilip, 1988. "On the Theory of Infinitely Repeated Games with Discounting," Econometrica, Econometric Society, vol. 56(2), pages 383-396, March.
    15. Thomas Gehrig & Oz Shy & Rune Stenbacka, 2012. "A Welfare Evaluation of History-Based Price Discrimination," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 373-393, December.
    16. Chang, Myong-Hun, 1991. "The effects of product differentiation on collusive pricing," International Journal of Industrial Organization, Elsevier, vol. 9(3), pages 453-469, September.
    17. Ulrich Schwalbe, 2018. "Algorithms, Machine Learning, And Collusion," Journal of Competition Law and Economics, Oxford University Press, vol. 14(4), pages 568-607.
    18. Chuan He & Johan Marklund & Thomas Vossen, 2008. "—Vertical Information Sharing in a Volatile Market," Marketing Science, INFORMS, vol. 27(3), pages 513-530, 05-06.
    19. Maria Paz Espinosa, 1992. "Delivered Pricing, FOB Pricing, and Collusion in Spatial Markets," RAND Journal of Economics, The RAND Corporation, vol. 23(1), pages 64-85, Spring.
    20. Jeanine Miklós-Thal & Catherine Tucker, 2019. "Collusion by Algorithm: Does Better Demand Prediction Facilitate Coordination Between Sellers?," Management Science, INFORMS, vol. 65(4), pages 1552-1561, April.
    21. Stefano Colombo, 2016. "Imperfect Behavior‐Based Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(3), pages 563-583, September.
    22. Stefano Colombo, 2013. "Product Differentiation and Collusion Sustainability When Collusion Is Costly," Marketing Science, INFORMS, vol. 32(4), pages 669-674, July.
    23. Liu, Qihong & Serfes, Konstantinos, 2007. "Market segmentation and collusive behavior," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 355-378, April.
    24. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    25. Florian Gössl & Alexander Rasch, 2020. "Collusion under different pricing schemes," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(4), pages 910-931, October.
    26. Raphael Thomadsen & Ki-Eun Rhee, 2007. "Costly Collusion in Differentiated Industries," Marketing Science, INFORMS, vol. 26(5), pages 660-665, 09-10.
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    Cited by:

    1. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
    2. Rupayan Pal & Sumit Shrivastav, 2024. "Privacy regulation, cognitive ability, and stability of collusion," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-004, Indira Gandhi Institute of Development Research, Mumbai, India.

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