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  1. Hybrid collusion
    algorithmic pricing in human-computer laboratory markets
    Published: May 2021
    Publisher:  Max Planck Institute for Research on Collective Goods, Bonn

    We investigate collusive pricing in laboratory markets when human players interact with an algorithm. We compare the degree of (tacit) collusion when exclusively humans interact to the case of one firm in the market delegating its decisions to an... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 62
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    We investigate collusive pricing in laboratory markets when human players interact with an algorithm. We compare the degree of (tacit) collusion when exclusively humans interact to the case of one firm in the market delegating its decisions to an algorithm. We further vary whether participants know about the presence of the algorithm. We find that threefirm markets involving an algorithmic player are significantly more collusive than human-only markets. Firms employing an algorithm earn significantly less profit than their rivals. For four-firm markets, we find no significant differences. (Un)certainty about the actual presence of an algorithm does not significantly affect collusion.

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 21.11116/0000-0008-7A8C-2
    hdl: 10419/245974
    Series: Discussion papers of the Max Planck Institute for Research on Collective Goods ; 2021, 11
    Subjects: algorithms; collusion; human-computer interaction; laboratory experiments
    Scope: 1 Online-Ressource (circa 59 Seiten)