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Optimal procurement mechanisms: bidding on price and damages for breach

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  • Ottorino Chillemi
  • Claudio Mezzetti

Abstract

We study the optimal procurement mechanism when contract breach and abandoning a project may be efficient, either because of completion costs higher than anticipated or because of new and more lucrative opportunities for the contractor. When contractors have private information about their costs, the procurer finds it optimal to set damages above expectation damages. There is a lock-in effect, or status quo bias; the agent that has won the award will complete the project even in situations when it would be efficient to abandon it. If the cost types of all agents are above a threshold, the optimal bidding procedure assigns the project by lottery. The optimal mechanism cannot be implemented by standard auction formats. However, the larger the number of agents bidding for the project, the closer auctions with a liquidated damage clause approximate the optimal mechanism. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Ottorino Chillemi & Claudio Mezzetti, 2014. "Optimal procurement mechanisms: bidding on price and damages for breach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 55(2), pages 335-355, February.
    • Handle: RePEc:spr:joecth:v:55:y:2014:i:2:p:335-355
    DOI: 10.1007/s00199-013-0751-5
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Oleksii Birulin & Sergei Izmalkov, 2022. "On advance payments in tenders with budget constrained contractors," RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 733-762, December.
    2. Indranil Chakraborty & Fahad Khalil & Jacques Lawarree, 2021. "Competitive procurement with ex post moral hazard," RAND Journal of Economics, RAND Corporation, vol. 52(1), pages 179-206, March.
    3. Leonardo M. Giuffrida & Gabriele Rovigatti, 2022. "Supplier selection and contract enforcement: Evidence from performance bonding," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 980-1019, November.
    4. Birulin, Oleksii, 2020. "Optimality of simple procurement auctions," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    5. Feyza G. Sahinyazan & Marie‐Ève Rancourt & Vedat Verter, 2021. "Improving Transportation Procurement in the Humanitarian Sector: A Data‐driven Approach for Abnormally Low Bid Detection," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1082-1109, April.
    6. Lagziel, David, 2019. "Credit auctions and bid caps," Games and Economic Behavior, Elsevier, vol. 113(C), pages 416-422.
    7. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    8. Cesare Dosi & Michele Moretto, 2017. "Cost Uncertainty and Time Overruns in Public Procurement: a Scoring Auction for a Contract with Delay Penalties," Working Papers 2017.02, Fondazione Eni Enrico Mattei.
    9. Di Corato, Luca & Dosi, Cesare & Moretto, Michele, 2018. "Multidimensional auctions for long-term procurement contracts with early-exit options: The case of conservation contracts," European Journal of Operational Research, Elsevier, vol. 267(1), pages 368-380.
    10. Cesare Dosi & Michele Moretto, 2017. "Cost Uncertainty and Time Overruns in Public Procurement: a Scoring Auction for a Contract with Delay Penalties," Working Papers 2017.02, Fondazione Eni Enrico Mattei.
    11. Lorentziadis, Panos L., 2014. "Bidding under auctioneer default risk," Omega, Elsevier, vol. 49(C), pages 123-133.
    12. Mordechai E. Schwarz, 2021. "Auctions with endogenous opting‐out fees and recursive winning procedures from the Talmud," International Journal of Economic Theory, The International Society for Economic Theory, vol. 17(4), pages 345-374, December.

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    More about this item

    Keywords

    Procurement; Principal-agent; Contract breach; Liquidated damages; D44; D82; H57; L51;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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