Optimal linear-payment auction design with aftermarket collaboration
Dazhong Wang, Ruqu Wang, Xinyi Xu

TL;DR
This paper designs optimal auctions considering endogenous post-auction collaboration, revealing how different role structures affect value sharing, effort exertion, and seller revenue, with mechanisms implementable via ascending auctions.
Contribution
It characterizes optimal linear payment mechanisms in auctions with endogenous post-auction collaboration, analyzing two pivotal role structures and their impact on outcomes.
Findings
Seller secures higher share under seller-pivotal collaboration.
Pivotal party exerts higher effort than supporting party.
Seller revenue is higher in seller-pivotal collaboration.
Abstract
This paper studies optimal auction design when valuations depend endogenously on post-auction collaboration between the seller and the winning bidder. Both parties exert non-contractible efforts after the auction, generating a double moral hazard problem alongside adverse selection. We analyze two role structures -- winner-pivotal and seller-pivotal collaboration -- and characterize optimal direct mechanisms using linear payment schemes that combine cash transfers with proportional value sharing. The optimal mechanism allocates the asset to the bidder with the highest virtual surplus, employs a deterministic value-sharing rule, and achieves full type revelation through the signal realization rule. Comparing the two scenarios yields three main findings. First, regarding value sharing, the seller secures a strictly higher share under seller-pivotal collaboration: for sufficiently low-type…
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