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Optimal Mechanism Design for Single-Minded Agents

Published: 13 July 2020 Publication History

Abstract

We consider optimal (revenue maximizing) mechanism design in the interdimensional setting, where one dimension is the 'value' of the buyer, and the other is a 'type' that captures some auxiliary information. A prototypical example of this is the FedEx Problem, for which Fiat et al. [2016] characterize the optimal mechanism for a single agent. Another example of this is when the type encodes the buyer's budget [DW17]. The question we address is how far can such characterizations goIn particular, we consider the setting of single-minded agents. A seller has heterogenous items. A buyer has a valuation vfor a specific subset of items S, and obtains value vif and only if he gets all the items in S(and potentially some others too).
We show the following results. Deterministic mechanisms (i.e. posted prices) are optimal for distributions that satisfy the "declining marginal revenue" (DMR) property. In this case we give an explicit construction of the optimal mechanism. Without the DMR assumption, the result depends on the structure of the minimal directed acyclic graph (DAG) representing the partial order among types. When the DAG has out-degree at most 1, we characterize the optimal mechanism àla FedEx; this can be thought of as a generalization of the FedEx characterization since FedEx corresponds to a DAG that is a line. Surprisingly, without the DMR assumption andwhen the DAG has at least one node with an out-degree of at least 2, then we show that there is no hope of such a characterization. The minimal such example happens on a DAG with 3 types. We show that in this case the menu complexity is unboundedin that for any M, there exist distributions over (v,S) pairs such that the menu complexity of the optimal mechanism is at least M. For the case of 3 types, we also show that for all distributions there exists an optimal mechanism of finitemenu complexity. This is in contrast to the case where you have 2 heterogenous items with additive utilities for which the menu complexity could be uncountably infinite [DDT15, MV07].
In addition, we prove that optimal mechanisms for Multi-Unit Pricing (without a DMR assumption) can have unbounded menu complexity as well, and we further propose an extension where the menu complexity of optimal mechanisms can be countably infinite, but not uncountably infinite. Taken together, these results establish that optimal mechanisms in interdimensional settings are both surprisingly richer than single-dimensional settings, yet also vastly more structured than multi-dimensional settings.

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Cited By

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  • (2023)Countering Value Uncertainty via Refunds: A Mechanism Design ApproachSSRN Electronic Journal10.2139/ssrn.4561235Online publication date: 2023
  • (2023)Coordinating Monetary Contributions in Participatory BudgetingAlgorithmic Game Theory10.1007/978-3-031-43254-5_9(142-160)Online publication date: 4-Sep-2023
  • (2022)Simple mechanisms for welfare maximization in rich advertising auctionsProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3602320(28280-28292)Online publication date: 28-Nov-2022
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cover image ACM Conferences
EC '20: Proceedings of the 21st ACM Conference on Economics and Computation
July 2020
937 pages
ISBN:9781450379755
DOI:10.1145/3391403
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 13 July 2020

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Author Tags

  1. duality
  2. interdimensional
  3. menu complexity
  4. optimal mechanism design
  5. partial lagrangian
  6. revenue
  7. single-minded valuations

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EC '20: The 21st ACM Conference on Economics and Computation
July 13 - 17, 2020
Virtual Event, Hungary

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Overall Acceptance Rate 664 of 2,389 submissions, 28%

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Cited By

View all
  • (2023)Countering Value Uncertainty via Refunds: A Mechanism Design ApproachSSRN Electronic Journal10.2139/ssrn.4561235Online publication date: 2023
  • (2023)Coordinating Monetary Contributions in Participatory BudgetingAlgorithmic Game Theory10.1007/978-3-031-43254-5_9(142-160)Online publication date: 4-Sep-2023
  • (2022)Simple mechanisms for welfare maximization in rich advertising auctionsProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3602320(28280-28292)Online publication date: 28-Nov-2022
  • (2022)Pricing ordered itemsProceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing10.1145/3519935.3520065(722-735)Online publication date: 9-Jun-2022
  • (2022)Optimal Multi-Dimensional Mechanisms are not Locally-ImplementableProceedings of the 23rd ACM Conference on Economics and Computation10.1145/3490486.3538334(875-896)Online publication date: 12-Jul-2022
  • (2022)Buy-many mechanisms are not much better than item pricingGames and Economic Behavior10.1016/j.geb.2022.04.003134(104-116)Online publication date: Jul-2022
  • (2022)The menu-size complexity of revenue approximationGames and Economic Behavior10.1016/j.geb.2021.03.001134(281-307)Online publication date: Jul-2022

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