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Decentralized Matching at Senior-Level: Stability and Incentives

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  • Ayse Yazici

    (Department of Economics, University of Durham)

Abstract

We consider senior-level labor markets and study a decentralized game where firms can fire a worker whenever they wish to make an offer to another worker. The game starts with initial matching of firms and workers and proceeds with a random sequence of job offers. The outcome of the game depends on the ran- dom sequence according to which firms make offers and therefore is a probability distribution over the set of matchings. We provide theoretical support for the successful functioning of decentralized matching markets in a setup with myopic workers. We then identify a lower bound on outcomes that are achievable through strategic behavior. We find that in equilibrium either any sequence of offers leads to the same matching or workers (firms) do not agree on what matching is the worst (best) among all possible realizations of the outcome. This implies that workers can always act to avoid a possible realization that they unanimously find undesirable. Hence, a well-known result for centralized matching at the entry- level carries over to matching at the senior-level albeit without the intervention of a mediator.

Suggested Citation

  • Ayse Yazici, 2022. "Decentralized Matching at Senior-Level: Stability and Incentives," Department of Economics Working Papers 2022_01, Durham University, Department of Economics.
  • Handle: RePEc:dur:durham:2022_01
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    More about this item

    Keywords

    Senior-level markets; Stability; Random matching;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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