activity
20202026
most citedDetecting bid-rigging coalitions in different countries and auction formats

1 citations · 1 across the 3 of their papers we have counts for

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Showing 2021Show all

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econ.GN2021

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…

econ.GN2021★ 1 cited

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…