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Lone wolves in infinite, discrete matching markets

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  • Jagadeesan, Ravi

Abstract

In finite two-sided matching markets, the Lone Wolf Theorem guarantees that the same set of agents remains unmatched in all stable outcomes. I show by example that this assertion is not true in infinite, discrete markets. However, despite the fact that the Lone Wolf Theorem is often used to derive strategy-proofness, the deferred acceptance mechanism remains (group) strategy-proof in many infinite markets.

Suggested Citation

  • Jagadeesan, Ravi, 2018. "Lone wolves in infinite, discrete matching markets," Games and Economic Behavior, Elsevier, vol. 108(C), pages 275-286.
    • Handle: RePEc:eee:gamebe:v:108:y:2018:i:c:p:275-286
    DOI: 10.1016/j.geb.2018.03.015
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    More about this item

    Keywords

    Matching; Large markets; Lone wolf theorem; Strategy-proofness;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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