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Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract)

Published: 09 May 2016 Publication History

Abstract

For one-sided matching problems, two widely studied mechanisms are the Random Serial Dictatorship (RSD) and the Probabilistic Serial Rule (PS). The induced outcomes of these two mechanisms are often incomparable and thus there are challenges when it comes to deciding which mechanism to adopt in practice. Working in the space of general preferences, we provide empirical results on the (in)comparability of RSD and PS and analyze their economic properties.

References

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A. Abdulkadiroğlu and T. Sönmez. Random serial dictatorship and the core from random endowments in house allocation problems. Econometrica, 66(3):689--701, 1998.
[2]
H. Aziz, S. Gaspers, S. Mackenzie, N. Mattei, N. Narodytska, and T. Walsh. Manipulating the probabilistic serial rule. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), pages 1451--1459, 2015.
[3]
A. Bogomolnaia and H. Moulin. A new solution to the random assignment problem. Journal of Economic Theory, 100(2):295--328, 2001.
[4]
H. Hosseini and K. Larson. Strategyproof quota mechanisms for multiple assignment problems. arXiv preprint arXiv:1507.07064, 2015.
[5]
F. Kojima and M. Manea. Incentives in the probabilistic serial mechanism. Journal of Economic Theory, 145(1):106--123, 2010.
[6]
S. Pápai. Strategyproof multiple assignment using quotas. Review of Economic Design, 5(1):91--105, 2000.

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Published In

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AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
May 2016
1580 pages
ISBN:9781450342391

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  • IFAAMAS

In-Cooperation

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 09 May 2016

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Author Tags

  1. matching
  2. mechanism design
  3. probabilistic serial
  4. random assignment
  5. random serial dictatorship

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  • Extended-abstract

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AAMAS '16
Sponsor:

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AAMAS '16 Paper Acceptance Rate 137 of 550 submissions, 25%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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