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Matching Information

Author

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  • Jan Eeckhout

    (University College London and GSE-UPF)

Abstract
The role of information aggregation within firms has long been recognized. We analyze the optimal allocation of differentially informed agents to different firms when those firms are in competition. Will the well informed match with those who are well informed or will they mix with the less informed? This is important because it provides a rationale for the observed worker composition of firms. We find that in equilibrium, the allocation consists of maximally diversifying the work force within the firm, while minimizing the informational difference between firms. Configuring diversely informed teams is the most informative. The value of information is submodular in types, and this allocation is a generalization of negative assortative matching (NAM) in one-to-one matching to a multi-agent team setting, team-NAM. We analyze the allocation in the presence of endogenous firm size, heterogeneity in productivity, and under correlation of the agents' information.

Suggested Citation

  • Jan Eeckhout, 2012. "Matching Information," 2012 Meeting Papers 835, Society for Economic Dynamics.
    • Handle: RePEc:red:sed012:835
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    References listed on IDEAS

    as
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    Cited by:

    1. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
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    3. Elias Bouacida & Renaud Foucart & Maya Jalloul, 2024. "Decreasing Differences in Expert Advice," Working Papers 408394204, Lancaster University Management School, Economics Department.

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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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