Collusion is an illegal practice by which some competing companies secretly agree on the
prices (bids) they will submit to a future auction. Worldwide, collusion is a pervasive …

Wholesale electricity markets have several features that increase the likelihood of collusion,
including frequent interaction, multimarket contact, and a high degree of information …

We propose a data-driven machine learning approach to flag bid-rigging cartels in the
Brazilian road maintenance sector. First, we apply a clustering algorithm to group the …

In railway infrastructure, construction and maintenance is typically procured using
competitive procedures such as auctions. However, these procedures only fulfill their …

We combine supervised machine learning techniques with statistical moments of the
gasoline price distribution to detect cartels in the Brazilian retail market. Standard deviation …

We propose an original application of screening methods using machine learning to detect
collusive groups of firms in procurement auctions. As a methodical innovation, we calculate …

We investigate the transnational transferability of statistical screening methods originally
developed using Swiss data for detecting bid-rigging cartels in Japan. We find that …

Adding to the literature on the data-driven detection of bid-rigging cartels, we propose a
novel approach based on deep learning (a subfield of artificial intelligence) that flags cartel …

Competitive bidding is a popular technique State Highway Agencies use for selecting
contractors for public construction work. It intends to ensure that construction projects are …

The detection and deterrence of collusive agreements among firms, such as price-fixing
cartels, remain pivotal in maintaining market competition. This study investigates the …