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.
Contested ground: Early competition and market dynamics in generative AI
CRA Competition experts, Andrea Asoni, Matteo Foschi, and Oliver Latham, teamed up with Chiara Farronato of Harvard Business School to reflect on developments...