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Organizing Time Banks: Lessons from Matching Markets

Author

Listed:
  • Tommy Andersson

    (Lund University, Department of Economics)

  • Agnes Cseh

    (Hungarian Academy of Sciences, Centre for Economic and Regional Studies, Institute of Economics)

  • Lars Ehlers

    (Université de Montréal, Département de Sciences Économiques)

  • Albin Erlanson

    (Stockholm School of Economics, Department of Economics)

Abstract
A time bank is a group of individuals and/or organizations in a local community that set up a common platform to trade services among themselves. There are several well-known problems associated with this type of banking, e.g., high overhead costs for record keeping and difficulties to identify feasible trades. This paper demonstrates that these problems can be solved by organizing time banks as a centralized matching market and, more specifically, by organizing trades based on a non-manipulable mechanism that selects an individually rational and time-balanced allocation which maximizes exchanges among the members of the time bank (and those allocations are efficient). Such a mechanism does not exist on the general preference domain but on a smaller yet natural domain where agents classify services as unacceptable and acceptable (and for those services agents have specific upper quotas representing their maximum needs). On the general preference domain, it is demonstrated that the proposed mechanism at least can prevent some groups of agents from manipulating the mechanism without dispensing individual rationality, efficiency, or time-balance.

Suggested Citation

  • Tommy Andersson & Agnes Cseh & Lars Ehlers & Albin Erlanson, 2018. "Organizing Time Banks: Lessons from Matching Markets," CERS-IE WORKING PAPERS 1818, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:discpr:1818
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. En skandinavisk matchningsmarknad för doktorandseminarier
      by Gäst in Ekonomistas on 2018-12-03 13:11:26

    Citations

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    Cited by:

    1. Biró, Péter & Klijn, Flip & Pápai, Szilvia, 2022. "Serial Rules in a Multi-Unit Shapley-Scarf Market," Games and Economic Behavior, Elsevier, vol. 136(C), pages 428-453.
    2. Federico Echenique & Antonio Miralles & Jun Zhang, 2019. "Fairness and efficiency for probabilistic allocations with participation constraints," Papers 1908.04336, arXiv.org, revised May 2020.
    3. Jingsheng Yu & Jun Zhang, 2020. "Efficient and fair trading algorithms in market design environments," Papers 2005.06878, arXiv.org, revised May 2021.
    4. Federico Echenique & Antonio Miralles & Jun Zhang, 2018. "Fairness and Efficiency for Probabilistic Allocations with Endowments," Working Papers 1055, Barcelona School of Economics.
    5. Kominers, Scott Duke & Hatfield, John William & Nichifor, Alexandru & Ostrovsky, Michael & Westkamp, Alexander, 2021. "Chain stability in trading networks," Theoretical Economics, Econometric Society, vol. 16(1), January.

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    More about this item

    Keywords

    market design; time banking; priority mechanism; non-manipulability;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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