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Rawlsian Allocation In Queueing And Sequencing Problem

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  • De, Parikshit

Abstract

In this paper we analyze the implication of a particular kind of allocation rule called Rawlsian allocation rule on queueing and sequencing problems. We find that in case of queueing problems, Efficient allocation rules are Rawlsian but the converse is not true. For a particular class of Rawlsian allocation rule we characterize the unique class of transfer rule that ensures non-manipulability. Also in case of a situation where there is private information in multiple dimension, we find that a the particular kind of Rawlsian allocation rule equipped with a suitable transfer rule works as a panacea.

Suggested Citation

  • De, Parikshit, 2014. "Rawlsian Allocation In Queueing And Sequencing Problem," MPRA Paper 58744, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:58744
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    References listed on IDEAS

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    6. Maniquet, Francois, 2003. "A characterization of the Shapley value in queueing problems," Journal of Economic Theory, Elsevier, vol. 109(1), pages 90-103, March.
    7. Shigehiro Serizawa, 2006. "Pairwise Strategy-Proofness and Self-Enforcing Manipulation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 26(2), pages 305-331, April.
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    9. De, Parikshit, 2013. "Incentive and normative analysis on sequencing problem," MPRA Paper 55127, University Library of Munich, Germany.
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    Cited by:

    1. Aloysius Ajab AMIN, 2015. "An incentive compatible model for eliciting firms’ production function in a development process," Journal of Economics Library, KSP Journals, vol. 2(2), pages 93-101, June.

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    More about this item

    Keywords

    Queueing problems; Sequencing problems; Strategyproofness; Rawlsian allocation.;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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