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Many-to-Many Matching on a Skill-Sharing Platform

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  • Masaki Aoyagi

Abstract

Each agent in a market needs to supplement his skill with a particular skill of another agent to complete his project. A platform matches the agents and allows members of the same match to share their skills. A match is valuable to an agent if he is matched with any agent who possesses a skill complementary to his own skill. When the platform uses the divide-and-conquer pricing strategy, we study the properties of incentive compatible mechanisms in relation to the reciprocal property of the complementary relationships among different skills, and when the market expands in its size.

Suggested Citation

  • Masaki Aoyagi, 2022. "Many-to-Many Matching on a Skill-Sharing Platform," ISER Discussion Paper 1186, Institute of Social and Economic Research, Osaka University.
    • Handle: RePEc:dpr:wpaper:1186
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    File URL: https://www.iser.osaka-u.ac.jp/library/dp/2022/DP1186.pdf
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    References listed on IDEAS

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