I investigate firms' competition over price and product design under uncertain design
evaluations in the context of Design-Build (DB) auctions. Reviewers' design evaluations
contain uncertainty from a bidder's perspective, leading luck to curtail differences in firms'
chances of winning. I model bidders' behavior and derive semiparametric identification of
the model primitives. Uncertain evaluations worsen the expected price of design quality,
and exacerbate an auctioneer's uncertainty in auction outcomes. A simple adjustment in
the auction mechanism may completely shut down the impact of uncertain evaluations on
bidding incentives, restoring efficient allocations of projects.
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