Descending Price Optimally Coordinates Search
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Abstract (arXiv)
Investigating potential purchases is often a substantial investment under uncertainty. Standard market designs, such as simultaneous or English auctions, compound this with uncertainty about the price a bidder will have to pay in order to win. As a result they tend to confuse the process of search both by leading to wasteful information acquisition on goods that have already found a good purchaser and by discouraging needed investigations of objects, potentially eliminating all gains from trade. In contrast, we show that the Dutch auction preserves all of its properties from a standard setting without information costs because it guarantees, at the time of information acquisition, a price at which the good can be purchased. Calibrations to start-up acquisition and timber auctions suggest that in practice the social losses through poor search coordination in standard formats are an order of magnitude or two larger than the (negligible) inefficiencies arising from ex-ante bidder asymmetries.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Mar 2016.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 4.
8 papers.
- 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Indexcited by 16
- 2022Bandit Algorithms for Prophet Inequality and Pandora's Boxcited by 13
- 2023Semi-Bandit Learning for Monotone Stochastic Optimizationcited by 8
- 2025The Gittins Index: A Design Principle for Decision-Making Under Uncertaintycited by 6
- 2025Cost-aware Stopping for Bayesian Optimizationcited by 4
- 2024Exploration and Persuasioncited by 1
- 2025T-TAMER: Provably Taming Trade-offs in ML Servingcited by 0
- 2025Statistical Guarantees in the Search for Less Discriminatory Algorithmscited by 0
- 2025Statistical Guarantees in the Search for Less Discriminatory Algorithms30 Dec 2025
- 2025T-TAMER: Provably Taming Trade-offs in ML Serving26 Sep 2025
- 2025Cost-aware Stopping for Bayesian Optimization16 Jul 2025
- 2025The Gittins Index: A Design Principle for Decision-Making Under Uncertainty12 Jun 2025
- 2024Exploration and Persuasion22 Oct 2024
- 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index28 Jun 2024
- 2023Semi-Bandit Learning for Monotone Stochastic Optimization24 Dec 2023
- 2022Bandit Algorithms for Prophet Inequality and Pandora's Box16 Nov 2022