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Detecting RPM with Unsupervised Machine Learning

By  |  March 7, 2025

By: Valentin Forster, Jürgen Fleiß, Dominik Kowald, and Vicky Robertson

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    The use of data-driven techniques to investigate potential antitrust violations has expanded significantly in recent years, particularly with the integration of machine learning. However, a key challenge remains: the limited availability of labeled data for training algorithms. In a new working paper, Valentin Forster, Jürgen Fleiß, Dominik Kowald, and Vicky Robertson examine how unsupervised machine learning can be applied to identify Resale Price Maintenance (RPM) in pricing data…

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