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Corruption in multidimensional procurement auctions under asymmetry

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  • Chandel, Shivangi
  • Sarkar, Shubhro

Abstract

We examine corruption in first and second-score procurement auctions with two asymmetric bidders. We assume that an agent, who is known to be corrupt with some exogenously known probability, asks for a bribe from one of two bidders and promises to manipulate bids in return. Using a symmetric quasi-linear scoring rule, we show that the agent approaches the weaker bidder for a bribe for higher levels of bidder asymmetry in both auction formats. Our numerical simulations suggest that the procurer prefers the first-score auction when the agent colludes with the stronger bidder in the second-score auction. If the weaker bidder is favored, on the other hand, the buyer switches to the second-score auction when the probability of corruption is high. This is due to the agent’s limited ability to manipulate bids in favor of the weaker bidder in the second-score auction. Finally, neither auction mechanism is efficient in the presence of corruption.

Suggested Citation

  • Chandel, Shivangi & Sarkar, Shubhro, 2023. "Corruption in multidimensional procurement auctions under asymmetry," Economic Modelling, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322004242
    DOI: 10.1016/j.econmod.2022.106187
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    References listed on IDEAS

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    1. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).

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