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Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach

Author

Listed:
  • Kei Kawai

    (UC Berkeley)

  • Jun Nakabayashi

    (Kindai University)

  • Juan Ortner

    (Boston University)

  • Sylvain Chassang

    (Princeton University)

Abstract

Cartels participating in procurement auctions frequently use bid rotation or incumbency priority to allocate market shares. However, establishing a tight link between observed allocation patterns and firm conduct has been difficult: there are cost-based competitive explanations for such behavior. We show that by focusing on the set of auctions in which the winning and losing bids are very close, it is possible to distinguish allocation patterns reflecting cost differences across firms from patterns reflecting noncompetitive behavior. We apply our tests to two datasets: the sample of Ohio school milk auctions studied in Porter and Zona (1999), and a sample of municipal procurement auctions held in Japan.

Suggested Citation

  • Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2021. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," Working Papers 2021-76, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2021-76
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    References listed on IDEAS

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    1. Hiroshi Ohashi, 2009. "Effects of Transparency in Procurement Practices on Government Expenditure: A Case Study of Municipal Public Works," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(3), pages 267-285, May.
    2. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
    3. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
    4. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 53-82.
    5. Hendricks, Kenneth & Porter, Robert H, 1988. "An Empirical Study of an Auction with Asymmetric Information," American Economic Review, American Economic Association, vol. 78(5), pages 865-883, December.
    6. Maskin, Eric & Tirole, Jean, 2001. "Markov Perfect Equilibrium: I. Observable Actions," Journal of Economic Theory, Elsevier, vol. 100(2), pages 191-219, October.
    7. Sylvain Chassang & Juan Ortner, 2019. "Collusion in Auctions with Constrained Bids: Theory and Evidence from Public Procurement," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2269-2300.
    8. Ishii, Rieko, 2009. "Favor exchange in collusion: Empirical study of repeated procurement auctions in Japan," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 137-144, March.
    9. John K. Ashton & Andrew D. Pressey, 2012. "Who Manages Cartels? The Role of Sales and Marketing Managers within International Cartels: Evidence from the European Union 1990-2009," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2012-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    10. Kaplan, Uma & Marmer, Vadim & Shneyerov, Artyom, 2016. "Identifying Collusion in English Auctions," Microeconomics.ca working papers vadim_marmer-2016-3, Vancouver School of Economics, revised 08 Jul 2017.
    11. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    12. Susan Athey & Jonathan Levin & Enrique Seira, 2011. "Comparing open and Sealed Bid Auctions: Evidence from Timber Auctions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 207-257.
    13. Patrick Bajari & Lixin Ye, 2003. "Deciding Between Competition and Collusion," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 971-989, November.
    14. Timothy G. Conley & Francesco Decarolis, 2016. "Detecting Bidders Groups in Collusive Auctions," American Economic Journal: Microeconomics, American Economic Association, vol. 8(2), pages 1-38, May.
    15. Baker, Jonathan B & Rubinfeld, Daniel L, 1999. "Empirical Methods in Antitrust Litigation: Review and Critique," American Law and Economics Review, American Law and Economics Association, vol. 1(1-2), pages 386-435, Fall.
    16. Porter, Robert H & Zona, J Douglas, 1993. "Detection of Bid Rigging in Procurement Auctions," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
    17. John Asker, 2010. "A Study of the Internal Organization of a Bidding Cartel," American Economic Review, American Economic Association, vol. 100(3), pages 724-762, June.
    18. Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
    19. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    20. Robert Clark & Decio Coviello & Jean-Fran�ois Gauthier & Art Shneyerov, 2018. "Bid Rigging and Entry Deterrence in Public Procurement: Evidence from an Investigation into Collusion and Corruption in Quebec," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(3), pages 301-363.
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    Cited by:

    1. Cappelletti, Matilde & Giuffrida, Leonardo M., 2021. "Procuring survival," ZEW Discussion Papers 21-093, ZEW - Leibniz Centre for European Economic Research.
    2. Aljoscha Janssen, 2022. "Price dynamics of Swedish pharmaceuticals," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 313-351, December.
    3. Panhans, Matthew T., 2023. "The Rise, Fall, and Legacy of the Structure-Conduct-Performance Paradigm," SocArXiv dvm3e, Center for Open Science.
    4. Matilde Cappelletti & Leonardo M. Giuffrida & Gabriele Rovigatti, 2022. "Procuring Survival," CESifo Working Paper Series 10124, CESifo.
    5. De Leverano, Adriano, 2023. "Clustered bids in first-price auctions: Collusion or competition?," Economics Letters, Elsevier, vol. 233(C).
    6. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
    7. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).

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    More about this item

    Keywords

    procurement; collusion; backlog; incumbency; regression discontinuity; antitrust;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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