1 citations · 1 across the 3 of their papers we have counts for
4 papers
Visible or Covert? The Causal Effect of Inspector Visibility on Fare Evasion Detection: A Causal Machine Learning and Policy Learning Approach
Hannes Wallimann, Cédric Brütsch, Martin Huber
Fare evasion generates substantial revenue losses for public transport operators and is typically combated through fare inspections, yet little is known about how the mode of inspe…
Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
Martin Huber, Jonas Meier, Hannes Wallimann
We assess the demand effects of discounts on train tickets issued by the Swiss Federal Railways, the so-called `supersaver tickets', based on machine learning, a subfield of artifi…
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…
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…