Complementary bidding and cartel detection: Evidence from Nordic asphalt markets

A key challenge in cartel enforcement is identifying collusive agreements. We study two major Nordic procurement cartels that operated in the asphalt paving market. We find evidence that during the cartel period bids were clustered and the winning bid was isolated. We implement two cartel detection methods that exploit variation in the distribution of bids. The method developed by Clark et al. (forthcoming) correctly rejects competitive bidding for the cartel period in both markets. The method suggested by Huber and Imhof (2019) achieves a high prediction rate in one of the markets but not in the market where the cartel had a more modest impact on bid distribution. Our results suggest that statistical screening methods with low data requirements can be useful for competition authorities in detecting collusive agreements.

Authors

Publication Details

Journal
International Journal of Industrial Organization
Published
2024-12-24
DOI
https://doi.org/10.1016/j.ijindorg.2024.103129
Citations
4
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Complementary bidding and cartel detection: Evidence from Nordic asphalt markets

Aapo Aaltio, Antto Jokelainen, Johan Lundberg, Riku Buri
4 citations
International Journal of Industrial Organization
Auction Theory and Applications
1.96
article

Complementary bidding and cartel detection: Evidence from Nordic asphalt markets

Aapo Aaltio, Antto Jokelainen, Johan Lundberg, Riku Buri
article en
4 citations

Abstract

A key challenge in cartel enforcement is identifying collusive agreements. We study two major Nordic procurement cartels that operated in the asphalt paving market. We find evidence that during the cartel period bids were clustered and the winning bid was isolated. We implement two cartel detection methods that exploit variation in the distribution of bids. The method developed by Clark et al. (forthcoming) correctly rejects competitive bidding for the cartel period in both markets. The method suggested by Huber and Imhof (2019) achieves a high prediction rate in one of the markets but not in the market where the cartel had a more modest impact on bid distribution. Our results suggest that statistical screening methods with low data requirements can be useful for competition authorities in detecting collusive agreements.

International Journal of Industrial OrganizationVol. 98
Openalex Percentile: Top 12%
Auction Theory and Applications
1.96
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Complementary bidding and cartel detection: Evidence from Nordic asphalt markets — Aapo Aaltio, Antto Jokelainen, et al. · International Journal of Industrial Organization (2024) | TGRS Research Map | TGRS