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Strategic Behavior in Unbalanced Matching Markets

Author

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  • Peter Coles
  • Yannai Gonczarowski
  • Ran Shorrer
Abstract
In this paper we explore how the balance of agents on the two sides of a matching market impacts their potential for strategic manipulation. Coles and Shorrer [2014] previously showed that in large, balanced, uniform markets using the Men-Proposing Deferred Acceptance Algorithm, each woman's best response to truthful behavior by all other agents is to truncate her list substantially. In fact, the optimal degree of truncation for such a woman goes to 100% of her list as the market size grows large. Recent findings of Ashlagi et. al. [2014] demonstrate that in unbalanced random markets, the change in expected payoffs is small when one reverses which side of the market ?proposes,? suggesting there is little potential gain from manipulation. Inspired by these findings, we study the implications of imbalance on strategic behavior in the incomplete information setting. We show that the ?long? side has significantly reduced incentives for manipulation in this setting, but that the same doesn't always apply to the ?short? side. We also show that risk aversion and correlation in preferences affect the extent of optimal manipulation.

Suggested Citation

  • Peter Coles & Yannai Gonczarowski & Ran Shorrer, 2014. "Strategic Behavior in Unbalanced Matching Markets," Working Paper 206481, Harvard University OpenScholar.
    • Handle: RePEc:qsh:wpaper:206481
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    File URL: http://scholar.harvard.edu/ran/node/206481
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    Cited by:

    1. Rheingans-Yoo, Ross, 2024. "Large random matching markets with localized preference structures can exhibit large cores," Games and Economic Behavior, Elsevier, vol. 144(C), pages 71-83.
    2. Coles, Peter & Shorrer, Ran, 2014. "Optimal truncation in matching markets," Games and Economic Behavior, Elsevier, vol. 87(C), pages 591-615.

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