In this paper, the authors propose an index for scoring coordination incentives, which they call the “coordination GUPPI” or cGUPPI. This paper describes the cGUPPI methodology and its properties, including its relationship to the GUPPI used to score unilateral effects. It also illustrates the mechanics of the cGUPPI methodology with several examples of hypothetical mergers. To read more, click the link below.
Comments on the effect of algorithms and artificial intelligence on the likelihood of coordinated effects as described in Guideline 3 of the draft Merger Guidelines
In this note, we discuss how the Antitrust Division of the Department of Justice and the Federal Trade Commission (collectively, the Agencies) view the effect...