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17 Nw. J. Tech. & Intell. Prop. 217 (2019-2020)
Sustainable and Unchallenged Algorithmic Tacit Collusion

handle is hein.journals/nwteintp17 and id is 218 raw text is: 






Copyright 2020 by Ariel Ezrachi & Maurice E. Stucke             Volume 17, Number 2 (2020)
Northwestern Journal of Technology and Intellectual Property



SUSTAINABLE AND UNCHALLENGED
      ALGORITHMIC TACIT COLLUSION


                                   Ariel Ezrachi*  & Maurice   E. Stucke**



ABSTRACT-Algorithmic collusion has the potential to transform future
markets, leading to higher prices and consumer  harm.  And  yet, algorithmic
collusion may  remain undetected  and unchallenged, in particular, when it is
used to facilitate conscious parallelism. The risks posed by such undetected
collusion have been  debated within antitrust circles in Europe, the US, and
beyond.  Some  economists,  however,  downplay   algorithmic tacit collusion
as unlikely, if not impossible. Keep  calm  and  carry on, they argue, as
future prices will  remain  competitive.  This paper  explores  the rise of
algorithmic  tacit collusion and responds  to those  who   downplay   it, by
pointing to  new  emerging   evidence  and the  gap  between  law  and  this
particular economic  theory. We  explain why  algorithmic tacit collusion is
not only possible but warrants the increasing concerns of many enforcers.

      Keywords:  Competition  law, Antitrust, Algorithms, Algorithmic Tacit
                                                 Collusion, Hub  and Spoke
               JEL  Classification: D43, D50, D81, K21,  L1, L13, L16, 030


    INTRODUCTION          ................................................ ......218
    I.  ALGORITHMIC TACIT COLLUSION - THE BASE CONDITIONS ........      .........224
    II. THE (IN)STABILITY OF TACIT COLLUSION ABSENT COMMUNICATION ...................230
    III. THE (IM)PLAUSIBILITY OF ALGORITHMIC TACIT COLLUSION ....   ...............241
        A.  Simple Algorithms.    ............................ .................... 242
        B.  Artificial Intelligence ........................................... 250
    IV. RECOMMENDATIONS          ........................................ ......255
    CONCLUSION                         ................................................................259



  Slaughter and May Professor of Competition Law, The University of Oxford. Director, Oxford
University Centre for Competition Law and Policy.
* Douglas A. Blaze Distinguished Professor of Law, University of Tennessee College of Law.
We are grateful for comments received from participants in the 2017 Organization for Economic Co-
operation and Development [OECD] roundtable on Algorithms and Collusion and the 2018 Max
Planck Round Table Discussion on Tacit Collusion


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