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9 - Average Bid Auction Format Facilitates Bidding Rings

Construction Tenders in Italy

Published online by Cambridge University Press:  06 December 2024

By
Francesco Decarolis
Edited by
Joseph E. Harrington Jr.  and
Maarten Pieter Schinkel
Joseph E. Harrington Jr.
Affiliation:
University of Pennsylvania
Maarten Pieter Schinkel
Affiliation:
Universiteit van Amsterdam
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Summary

  • ◦ This case study illustrates how a particular auction design, used for public procurement, can unintentionally provide fertile ground for bidding rings.

  • ◦ Essentially, the average bid auction format awards the contract to the bidder whose bid is nearest to the average bid. The average bid auction format has been advocated in order to prevent contracts being awarded to bidders with unrealistically low bids that might result in low quality or ex post renegotiation.

  • ◦ This case study shows how it facilitates collusion. The setting is the tendering of public work projects in Turin, Italy over 2000–2003 where subgroups of construction firms formed cartels and coordinated their bids to enhance their chance of winning the contract at an inflated price.

  • ◦ To understand the ease with which bidders can collude when participating in an average bid auction, suppose the current expectation (in the absence of coordination) is that firms bid aggressively. In order to have a chance to win, a firm would have to submit a relatively low bid in order for it to be close to the average bid. Now consider firms forming a cartel. All they need to do is agree to submit high prices. That will reap higher profits and without the temptation to deviate as is present with the usual auction design where the contract is awarded to the lowest bidder. A firm that thinks about submitting a lower bid will move its bid farther away from the average bid and thus reduce its chances of winning. Once firms agree to submit high bids, such an agreement is self-enforcing. The average bid auction format thus makes collusion more likely because cartel stability is so easy to maintain.

  • ◦ The case study also explores an incentive for a subset of firms to form its own coalition in order to increase their chances of winning. If it comprises enough firms, they can move the average bid up or down in a manner to cause their bids to be closer to the average bid than the bids of firms outside of their coalition. As a result, a collection of bidders can respond to a coalition by forming its own coalition. The proliferation of these coalitions is well documented for the Turin case.

  • ◦ This understanding of cartel conduct is used to develop a marker for collusion based on the frequency of joint participation.

Keywords

bidding ringsaverage bid auctionbid riggingpublic procurementcoalitions
Type
Chapter
Information
Cartels Diagnosed
New Insights on Collusion
 , pp. 249 - 271
Publisher: Cambridge University Press
Print publication year: 2025

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References

Abrantes-Metz, R., and Bajari, P. (2012) “Screens for Conspiracies and Their Multiple Applications,” Competition Policy International Journal, 8(1), 177–183.Google Scholar
Baranek, B., Musolff, L., and Titl, V. (2021) “Detection of Collusive Networks in E-procurement,” working paper Princeton University.CrossRefGoogle Scholar
Chassang, S. and Ortner, J. (2019) “Collusion in Auctions with Constrained Bids: Theory and Evidence from Public Procurement,” Journal of Political Economy, 127, 2269–2300.CrossRefGoogle Scholar
Conley, T., and Decarolis, F. (2016) “Detecting Bidders Groups in Collusive Auctions,” American Economic Journal: Microeconomics, 8(2), 1–38.Google Scholar
Curto, V., Einav, L., Levin, J., and Bhattacharya, J. (2021) “Can Health Insurance Competition Work? Evidence from Medicare Advantage,” Journal of Political Economy, 129(2), 570–606.CrossRefGoogle Scholar
Decarolis, F. (2015) “Medicare Part D: Are Insurers Gaming the Low Income Subsidy Design?” American Economic Review, 105(4), 1547–1580.CrossRefGoogle ScholarPubMed
Decarolis, F. (2018) “Comparing Procurement Auctions,” International Economic Review, 59(2), 391–419.CrossRefGoogle Scholar
Decarolis, F., Polyakova, M. and Ryan, S. (2020) “Subsidy Design in Privately Provided Social Insurance: Lessons from Medicare Part D,” Journal of Political Economy, 128(5), 1712–1752.CrossRefGoogle ScholarPubMed
European Commission (2002) “Prevention, Detection and Elimination of Abnormally Low Tenders in the European Construction Industry,” Enterprise and Industry Report.Google Scholar
Hendricks, K. and Porter, R. (1988) “An Empirical Study of an Auction with Asymmetric Information,” American Economic Review, 78, 865–883.Google Scholar
Ioannou, P. G., and Leu, S.-S. (1993) “Average-Bid Method. Competitive Bidding Strategy,” Journal of Construction Engineering and Management, 119(1), 131–147.CrossRefGoogle Scholar
Kastl, J. and Hortacsu, A. (2012) “Valuing Dealers’ Information Advantage: A Study of Canadian Treasury Auctions,” Econometrica, 80(6), 2511–2542.Google Scholar
Kawai, K. and Nakabayashi, J. (2022) “Detecting Large-Scale Collusion in Procurement Auctions,” Journal of Political Economy, 130, 1585–1629.CrossRefGoogle Scholar
Klemperer, P. (2002) “What Really Matters in Auction Design,” Journal of Economic Perspectives, 16 (1): 169–189.CrossRefGoogle Scholar
Lopomo, P., Persico, N. and Villa, A. (2022) “Optimal Procurement with Quality Concerns,” working paper Northwestern University.CrossRefGoogle Scholar
Myerson, R. (1981) “Optimal Auction Design,” Mathematics of Operations Research, 6, 58–73.CrossRefGoogle Scholar
Porter, R. H. and Zona, J. D. (1993) “Detection of Bid Rigging in Procurement Auctions,” Journal of Political Economy, 101, 518–538.CrossRefGoogle Scholar
Porter, R. H. and Zona, J. D. (1999) “Ohio School Milk Markets: An Analysis of Bidding,” RAND Journal of Economics, 30, 263–288.CrossRefGoogle Scholar
Roth, A. (2002) “The Economist as Engineer: Game Theory, Experimentation, and Computation Tools for Design Economics,” Econometrica, 70(4), 1341–1378.CrossRefGoogle Scholar
Roth, A. (2018) “Marketplaces, Markets, and Market Design,” American Economic Review, 108(7): 1609–1658.CrossRefGoogle ScholarPubMed
Schurter, K. (2020) “Identification and inference in first-price auctions with collusion,” working paper, University of Chicago.Google Scholar

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