Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.)

Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.)

FromStanford Computational Antitrust


Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.)

FromStanford Computational Antitrust

ratings:
Length:
28 minutes
Released:
Jan 29, 2024
Format:
Podcast episode

Description

In this episode 21, Thibault Schrepel talks to David P. Brown, Daniel O. Cajueiro, Andrew Eckert, and Douglas Silveira about their article entitled "Information and Transparency: Using Machine Learning to Detect Communication Between Firms" (freely available at https://law.stanford.edu/computationalantitrust)
Released:
Jan 29, 2024
Format:
Podcast episode

Titles in the series (25)

The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.