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Simple and Approximately Optimal Pricing for Proportional Complementarities

Published: 17 June 2019 Publication History

Abstract

We study a new model of complementary valuations, which we call "proportional complementarities.'' In contrast to common models, such as hypergraphic valuations, in our model, we do not assume that the extra value derived from owning a set of items is independent of the buyer's base valuations for the items. Instead, we model the complementarities as proportional to the buyer's base valuations, and these proportionalities are known market parameters.
Our goal is to design a simple pricing scheme that, for a single buyer with proportional complementarities, yields approximately optimal revenue. We define a new class of mechanisms where some number of items are given away for free, and the remaining items are sold separately at inflated prices. We find that the better of such a mechanism and selling the grand bundle earns a 12-approximation to the optimal revenue for pairwise proportional complementarities. This confirms the intuition that items should not be sold completely separately in the presence of complementarities. In the more general case, a buyer has a maximum of proportional positive hypergraphic valuations, where a hyperedge in a given hypergraph describes the boost to the buyer's value for item i given by owning any set of items T in addition. The maximum-out-degree of such a hypergraph is d, and k is the positive rank of the hypergraph. For valuations given by these parameters, our simple pricing scheme is an O(min{d,k})-approximation.

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cover image ACM Conferences
EC '19: Proceedings of the 2019 ACM Conference on Economics and Computation
June 2019
947 pages
ISBN:9781450367929
DOI:10.1145/3328526
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2019

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Author Tags

  1. complements
  2. pricings
  3. revenue maximization

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  • Extended-abstract

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EC '19
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EC '19: ACM Conference on Economics and Computation
June 24 - 28, 2019
AZ, Phoenix, USA

Acceptance Rates

EC '19 Paper Acceptance Rate 106 of 382 submissions, 28%;
Overall Acceptance Rate 664 of 2,389 submissions, 28%

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EC '25
The 25th ACM Conference on Economics and Computation
July 7 - 11, 2025
Stanford , CA , USA

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