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Episode 11: Prospects and Limits of Merger Simulations as a Computational Antitrust Tool (Oliver Budzinski)
Episode 11: Prospects and Limits of Merger Simulations as a Computational Antitrust Tool (Oliver Budzinski)
ratings:
Length:
40 minutes
Released:
May 25, 2022
Format:
Podcast episode
Description
In this episode 11, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Prospects and Limits of Merger Simulations as a Computational Antitrust Tool”, with Oliver Budzinski // Read the article at https://law.stanford.edu/computationalantitrust
Released:
May 25, 2022
Format:
Podcast episode
Titles in the series (26)
Episode 14: Cartel Screening and Machine Learning (Harrington & Imhof) by Stanford Computational Antitrust