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  1. Collusion by algorithm
    the role of unobserved actions
    Erschienen: March 2022
    Verlag:  Heinrich-Heine-University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE), Düsseldorf, Germany

    We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the... mehr

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 256
    keine Fernleihe

     

    We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question. Moreover, our analysis reveals a dual role of improving forecasting ability when actions are not observable. Deviations become more tempting, reducing profits, but also uncertainty concerning deviations is increasingly eliminated. This results in a u-shaped relationship between profits and prediction ability. When prediction ability is perfect, the "observable actions" case emerges.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783863043810
    Weitere Identifier:
    hdl: 10419/251173
    Schriftenreihe: Discussion paper / Düsseldorf Institute for Competition Economics (DICE) ; no 382
    Schlagworte: Algorithm; Collusion; Demand forecasting; Unobservable actions; Secret price cutting
    Umfang: 1 Online-Ressource (circa 37 Seiten), Illustrationen