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Université de Fribourg

Transnational machine learning with screens for flagging bid-rigging cartels

Huber, Martin ; Imhof, David ; Ishii, Rieko

(Working Papers SES ; 519)

We investigate the transnational transferability of statistical screening methods originally developed using Swiss data for detecting bid-rigging cartels in Japan. We find that combining screens for the distribution of bids in tenders with machine learning to classify collusive vs. competitive tenders entails a correct classification rate of 88% to 93% when training and testing the method...

Université de Fribourg

Econometric tests to detect bid-rigging cartels: does it work?

Imhof, David

(Working Papers SES ; 483)

This paper tests how well the method proposed by Bajari and Ye (2003) performs to detect bidrigging cartels. In the case investigated in this paper, the bid-rigging cartel rigged all contracts during the collusive period, and all firms participated to the bid-rigging cartel. The two econometric tests constructed by Bajari and Ye (2003) produce a high number of false negative results: the tests do...

2 results 1