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Machine learning approach for flagging incomplete bid-rigging cartels

Wallimann, Hannes ; Imhof, David ; Huber, Martin

(Working Papers SES ; 513)

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 from the distribution of bids in a tender, with machine learning to predict the probability of collusion. As a methodological innovation, we calculate such screens for all possible subgroups of three or four bids...

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A substantial discount on ski passes : a synthetic control analysis

Wallimann, Hannes

(Working Papers SES ; 507)

The synthetic control method serves as an appropriate and promising approach to do quantitative comparison research. However, the method is rarely used in the context of tourism. We fill this research gap by applying the method to the case of a Swiss mountain destination. Alpine tourist destinations have suffered from a declining demand in the last decade. Fewer tourist visit ski resorts....

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