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A New Article on Algorithmic Collusion (Guest Post by Ai Deng PhD.)

October 16, 2017 by Robert Connolly 2 Comments

Below is a post by valued guest contributor, Ai Deng, PhD. of Bates White Economic Consulting.

*****************************

In a new article I published in Law360 last week, I discussed the following four reasons why the scope of colluding algorithms, even if they are technologically possible, could be limited:

  • Algorithmic asymmetry
  • Robust compliance
  • Observable collusive outcomes
  • Risk of class actions

The paper is titled “Four Reasons We May Not See Colluding Robots Anytime Soon” and is available here. If you do not have a subscription to Law360 but would like to have a copy, please feel free to email me at ai.deng@bateswhite.com

As always, I appreciate your thoughts and comments. You can reach me at the email above or connect with me on LinkedIn [here].

Thanks for reading.

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Comments

  1. Iesha says

    November 3, 2017 at 1:14 am

    Thank you, I have recently been searching for information about this topic for a
    long time and yours is the greatest I have came upon so far.
    But, what about the conclusion? Are you sure concerning the supply?

    Reply
    • Ai Deng says

      November 18, 2017 at 10:03 pm

      Hi lesha, I do not follow the comments here so I just saw yours. First of all, I am very glad that you found my work helpful.
      On your questions, could you please clarify what you mean?

      Reply

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The US Supreme Court has called cartels "the supreme evil of antitrust." Price fixing and bid rigging may not be all that evil as far as supreme evils go, but an individual can get 10 years in jail and corporations can be fined hundreds of millions of dollars. This blog will provide news, insight and analysis of the world of cartels based on the many years my colleagues and I have as former feds with the Antitrust Division, USDOJ.

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