Campus users should disconnect from VPN to access senior theses, as there is a temporary disruption affecting VPN.
 

Publication:

Undermining Collusion in Lowball Lottery Auctions.

datacite.rightsrestricted
dc.contributor.advisorGul, Faruk R.
dc.contributor.authorKnell, Benjamin F.
dc.date.accessioned2025-08-06T14:10:45Z
dc.date.available2025-08-06T14:10:45Z
dc.date.issued2025-04-10
dc.description.abstractThis paper expands on the lowball lottery auction mechanism proposed in Optimal Procurement with Quality Concerns by exploring how the buyer can reduce the likelihood of collusive equilibria in repeated procurement auctions with exactly two bidders. In this paper, I introduce a novel approach to policing collusion in LoLAs: a reward-for-reporting mechanism. Under this mechanism, both bidders are incentivized to report any attempts at collusion in exchange for a monetary reward, which is funded by amounts they are both required to set aside at the start of the auction. The paper compares this approach to a more traditional method in which the auctioneer independently decides when to investigate potential collusion, with some probability of uncovering it, and to a baseline scenario with no anti-collusion enforcement. I then analyze the conditions under which collusion can be ruled out as an equilibrium and show that, in theory, the reward-for-reporting mechanism offers benefits similar to traditional investigations but with the added advantage of imposing no cost on either the bidders or the auctioneer in equilibrium.
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp019w032648m
dc.language.isoen_US
dc.titleUndermining Collusion in Lowball Lottery Auctions.
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
dspace.workflow.startDateTime2025-04-11T03:50:53.590Z
pu.contributor.authorid920287384
pu.date.classyear2025
pu.departmentOps Research & Financial Engr

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Knell_ORFE_Senior_Thesis (3).pdf
Size:
382.79 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
100 B
Format:
Item-specific license agreed to upon submission
Description:
Download