Abstract

We consider the amount of communication required to verify the outcome of the Vickrey-Clarke-Groves (VCG) mechanism: an efficient allocation together with incentivizing VCG payments. We compare this to the communication required to verify the efficient decision rule alone, to assess the overhead imposed by VCG payments. Our characterizations are obtained by leveraging a connection between the VCG outcome and a price equilibrium concept known as universal competitive equilibrium. We consider four related environments within a common framework: the classic single-item setting, the multi-unit setting with decreasing marginal values, the classic assignment problem with unit-demand valuations, and the multi-unit assignment problem with substitutes valuations. We find that the single-unit settings have zero overhead, whereas the multi-unit settings can have significant positive overhead. With multiple units, the naive VCG protocol that runs several efficient protocols in sequence (one with all agents, and ones with an agent removed, for each agent) is asymptotically optimal for several parameter settings of the number of agents, commodities, and units.

Highlights

  • The Vickrey-Clarke-Groves (VCG) mechanism holds a central place in the theory of mechanism design due to its unique efficiency, incentive, and revenue properties

  • Our characterizations are obtained by leveraging a connection between the VCG outcome and a price equilibrium concept known as universal competitive equilibrium

  • We have examined the nondeterministic communication requirements of realizing the VCG outcome in settings with indivisible units of different commodities

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Summary

INTRODUCTION

The Vickrey-Clarke-Groves (VCG) mechanism holds a central place in the theory of mechanism design due to its unique efficiency, incentive, and revenue properties. The incentivizing transfers defined by the VCG mechanism impose an additional “overhead” on the communication requirements of the efficient decision rule alone We consider this overhead for several environments: the classic single-item setting, the multi-unit setting with decreasing marginal values, the classic assignment problem with unit-demand valuations, and the multi-unit assignment problem with substitutes valuations. Fadel and Segal conclude that the overhead is at most the number of agents: the agents’ utilities for the outcome can be appended to the communication of an efficient protocol, effectively communicating the transfers. 3. A lower bound on the communication requirement of the VCG outcome in the multi-unit assignment problem with substitutes valuations, that is asymptotically tight for several parameter settings of the model.

THE MODEL
RESOURCE ALLOCATION
Implementation
Realization
PRICE EQUILIBRIA
NAÏVE PROTOCOLS
APPLICATIONS
Single-Unit
Multi-Unit
Single Unit
CONCLUSION

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