Efficiency Guarantees in Auctions with Budgets
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Abstract (arXiv)
In settings where players have a limited access to liquidity, represented in the form of budget constraints, efficiency maximization has proven to be a challenging goal. In particular, the social welfare cannot be approximated by a better factor then the number of players. Therefore, the literature has mainly resorted to Pareto-efficiency as a way to achieve efficiency in such settings. While successful in some important scenarios, in many settings it is known that either exactly one incentive-compatible auction that always outputs a Pareto-efficient solution, or that no truthful mechanism can always guarantee a Pareto-efficient outcome. Traditionally, impossibility results can be avoided by considering approximations. However, Pareto-efficiency is a binary property (is either satisfied or not), which does not allow for approximations. In this paper we propose a new notion of efficiency, called liquid welfare. This is the maximum amount of revenue an omniscient seller would be able to extract from a certain instance. We explain the intuition behind this objective function and show that it can be 2-approximated by two different auctions. Moreover, we show that no truthful algorithm can guarantee an approximation factor better than 4/3 with respect to the liquid welfare, and provide a truthful auction that attains this bound in a special case. Importantly, the liquid welfare benchmark also overcomes impossibilities for some settings. While it is impossible to design Pareto-efficient auctions for multi-unit auctions where players have decreasing marginal values, we give a deterministic O(log n)-approximation for the liquid welfare in this setting.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Apr 2013.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
5 papers.
- 2023Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamicscited by 20
- 2023Learning and Collusion in Multi-unit Auctionscited by 5
- 2021Robust Allocations with Diversity Constraintscited by 1
- 2022An Algorithmic Introduction to Savings Circlescited by 0
- 2026Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?cited by 0
- 2026Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?29 May 2026
- 2023Learning and Collusion in Multi-unit Auctions27 May 2023
- 2023Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics30 Jan 2023
- 2022An Algorithmic Introduction to Savings Circles23 Mar 2022
- 2021Robust Allocations with Diversity Constraints30 Sep 2021