2 papers
econ.GN2021
Detecting bid-rigging coalitions in different countries and auction formats
David Imhof, Hannes Wallimann
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…
econ.EM2020
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
Hannes Wallimann, David Imhof, Martin Huber
We propose a new method for flagging bid rigging, which is particularly useful for detecting incomplete bid-rigging cartels. Our approach combines screens, i.e. statistics derived…