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Algorithmica
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Truth-telling Reservations

Truth-telling reservations
Authors: Fang Wu 0001; Li Zhang 0001; Bernardo A. Huberman;

Truth-telling Reservations

Abstract

A procedure of reservations of bursty resources is proposed, which induces users to reveal their true likelihood that they will purchase a given resource. In the case of two period reservation the procedure is as follows: at the first period the user submits the probability \(q\) with which he suppose to use the resource at the second period. Then he pays \(f(q)\) if he uses the resource at the second period and \(g(q)\) otherwise. The authors construct functions \(f\) and \(g\) to enforce the user provide the true value \(q\) and make the reservation profitable for both the user and the provider. Such contact can be regarded as an ``option'' of a price \(g(q)\) in the period 1 to buy the resource at price \(f(q)-g(q)\) in period 2. Multiperiod options construction and their optimal pricing are discussed.

Related Organizations
Keywords

Matching models, Incentive compatible, Reservation, Mechanism design, Option, Contract, Resource and cost allocation (including fair division, apportionment, etc.), Software, source code, etc. for problems pertaining to game theory, economics, and finance, Truth-telling

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
bronze