Selling Multiple Correlated Goods: Revenue Maximization and Menu-Size Complexity (old title: "The Menu-Size Complexity of Auctions")
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Abstract (arXiv)
We consider the well known, and notoriously difficult, problem of a single revenue-maximizing seller selling two or more heterogeneous goods to a single buyer whose private values for the goods are drawn from a (possibly correlated) known distribution, and whose valuation is additive over the goods. We show that when there are two (or more) goods, _simple mechanisms_ -- such as selling the goods separately or as a bundle -- _may yield only a negligible fraction of the optimal revenue_. This resolves the open problem of Briest, Chawla, Kleinberg, and Weinberg (JET 2015) who prove the result for at least three goods in the related setup of a unit-demand buyer. We also introduce the menu size as a simple measure of the complexity of mechanisms, and show that the revenue may increase polynomially with _menu size_ and that no bounded menu size can ensure any positive fraction of the optimal revenue. The menu size also turns out to "pin down" the revenue properties of deterministic mechanisms.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Apr 2013.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 1.
4 papers.
- 2022Differentiable Economics for Randomized Affine Maximizer Auctionscited by 22
- 2023New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffscited by 4
- 2025Learning Optimal Posted Prices for a Unit-Demand Buyercited by 1
- 2023Refined Mechanism Design for Approximately Structured Priors via Active Regressioncited by 0
- 2025Learning Optimal Posted Prices for a Unit-Demand Buyer2 Jun 2025
- 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression11 Oct 2023
- 2023New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs22 Feb 2023
- 2022Differentiable Economics for Randomized Affine Maximizer Auctions6 Feb 2022