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Dynamic matching with transfers

Author

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  • Maxey, Tyler

Abstract

I study a two-sided market of dynamic matching with sequential arrivals. Agents trade off waiting to match with a more desirable agent with immediately matching with a less desirable agent. I study the consequences of transfer availability for two protocols: first-in-first-out (FIFO) and last-in-first-out (LIFO). For FIFO, welfare is weakly greater with transfers than without. For LIFO, there is a range of waiting costs such that welfare is weakly lower with transfers than without. For sufficiently low waiting costs, the equilibrium welfare for FIFO with transfers remains strictly lower than socially optimal. Thus, unlike in a static matching setting, transfers in my dynamic matching setting do not generate utilitarian efficient outcomes.

Suggested Citation

  • Maxey, Tyler, 2023. "Dynamic matching with transfers," Economics Letters, Elsevier, vol. 233(C).
  • Handle: RePEc:eee:ecolet:v:233:y:2023:i:c:s0165176523003919
    DOI: 10.1016/j.econlet.2023.111366
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    References listed on IDEAS

    as
    1. Francis Bloch & David Cantala, 2017. "Dynamic Assignment of Objects to Queuing Agents," Post-Print halshs-03968341, HAL.
    2. Baccara, Mariagiovanna & Lee, SangMok & Yariv, Leeat, 2020. "Optimal dynamic matching," Theoretical Economics, Econometric Society, vol. 15(3), July.
    3. Schummer, James, 2021. "Influencing waiting lists," Journal of Economic Theory, Elsevier, vol. 195(C).
    4. Francis Bloch & David Cantala, 2017. "Dynamic Assignment of Objects to Queuing Agents," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 88-122, February.
    5. Jacob D. Leshno, 2022. "Dynamic Matching in Overloaded Waiting Lists," American Economic Review, American Economic Association, vol. 112(12), pages 3876-3910, December.
    6. Francis Bloch & David Cantala, 2017. "Dynamic Assignment of Objects to Queuing Agents," PSE-Ecole d'économie de Paris (Postprint) halshs-03968341, HAL.
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    More about this item

    Keywords

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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