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Equity Pay In Networked Teams

Author

Listed:
  • Krishna Dasaratha
  • Benjamin Golub
  • Anant Shah

Abstract

A group of agents each exert effort to produce a joint output, with the complementarities between their efforts represented by a (weighted) network. Under equity compensation, a principal motivates the agents to work by giving them shares of the output. We describe the optimal equity allocation. It is characterized by a neighborhood balance condition: any two agents receiving equity have the same (weighted) total equity assigned to their neighbors. We also study the problem of selecting the team of agents who receive positive equity, and show this team must form a tight-knit subset of the complementarity network, with any pair being complementary to one another or jointly to another team member. Finally, we give conditions under which the amount of equity used for compensation is increasing in the strength of a team's complementarities and discuss several other applications.

Suggested Citation

  • Krishna Dasaratha & Benjamin Golub & Anant Shah, 2023. "Equity Pay In Networked Teams," Papers 2308.14717, arXiv.org.
    • Handle: RePEc:arx:papers:2308.14717
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    References listed on IDEAS

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    3. Marina Halac & Ilan Kremer & Eyal Winter, 2020. "Raising Capital from Heterogeneous Investors," American Economic Review, American Economic Association, vol. 110(3), pages 889-921, March.
    4. Jean Tirole, 2012. "Overcoming Adverse Selection: How Public Intervention Can Restore Market Functioning," American Economic Review, American Economic Association, vol. 102(1), pages 29-59, February.
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    Cited by:

    1. Marc Claveria-Mayol, 2024. "Moral Hazard with Network Effects," Papers 2406.11660, arXiv.org.

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