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Detecting bid-rigging coalitions in different countries and auction formats
We propose an original application of screening methods using machine learning to detect collusive groups of firms in procurement auctions.
Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
Based on Japanese and Swiss procurement data, we construct such graphs for both collusive and competitive episodes (i. e when a bid-rigging cartel is or is not active) and use a subset of graphs to train the neural network such that it learns distinguishing collusive from competitive bidding patterns.
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
We propose a new method for flagging bid rigging, which is particularly useful for detecting incomplete bid-rigging cartels.
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