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Is Collusion Proof Auction Expensive? Estimates from Highway Procurements

Author

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  • Aryal, Gaurab
  • Gabrielli, Maria F.

Abstract

Collusion in auctions affects both revenue and efficiency and are prevalent. Yet, sellers do not use collusion-proof auctions as often as they should. Why is that? We find that one reason for this could be the cost of implementing efficient collusion-proof auctions. We use California highway procurements data, to estimate the cost of implementing collusion-proof auction. Our estimates show that cost must increase by at least 10.8% to ensure efficient outcome. The cost can sometimes be as high as 48.8% (depending on the size of bidding-ring in the data).

Suggested Citation

  • Aryal, Gaurab & Gabrielli, Maria F., 2012. "Is Collusion Proof Auction Expensive? Estimates from Highway Procurements," MPRA Paper 57353, University Library of Munich, Germany, revised 19 Feb 2014.
  • Handle: RePEc:pra:mprapa:57353
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    References listed on IDEAS

    as
    1. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    2. Yeon-Koo Che & Jinwoo Kim, 2006. "Robustly Collusion-Proof Implementation," Econometrica, Econometric Society, vol. 74(4), pages 1063-1107, July.
    3. Jean-Jacques Laffont & David Martimort, 1998. "Collusion and Delegation," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 280-305, Summer.
    4. David Hou Author-Name: David Skeie, 2013. "LIBOR: origins, economics, crisis, scandal and reform," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    5. Aryal, Gaurab & Gabrielli, Maria F., 2013. "Testing for collusion in asymmetric first-price auctions," International Journal of Industrial Organization, Elsevier, vol. 31(1), pages 26-35.
    6. Robert H. Porter & J. Douglas Zona, 1999. "Ohio School Milk Markets: An Analysis of Bidding," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 263-288, Summer.
    7. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    8. Patrick Bajari, 2001. "Comparing competition and collusion: a numerical approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 18(1), pages 187-205.
    9. Chen, Jing & Micali, Silvio, 2012. "Collusive dominant-strategy truthfulness," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1300-1312.
    10. Mireia Jofre-Bonet & Martin Pesendorfer, 2003. "Estimation of a Dynamic Auction Game," Econometrica, Econometric Society, vol. 71(5), pages 1443-1489, September.
    11. Gaurab Aryal & Maria F. Gabrielli & Quang Vuong, 2021. "Semiparametric Estimation of First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 373-385, March.
    12. Jean-Jacques Laffont & David Martimort, 2000. "Mechanism Design with Collusion and Correlation," Econometrica, Econometric Society, vol. 68(2), pages 309-342, March.
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    More about this item

    Keywords

    Public Procurement; Collusion-Proof Auction; Local Polynomial; Efficiency-Revenue Trade-off;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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