Equity Pay in Networked Teams

Krishna Dasaratha, Ben Golub, Anant Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Equity compensation is widely used to motivate members of a team, such as a startup, to work toward a common goal. A natural question, about which little is known, is how the structure of collaborations should influence the design of equity compensation. We analyze this problem in a standard quadratic-payoffs network game model of production with heterogeneous complementarities. Each member of the team chooses a level of costly effort. This effort makes a "standalone"contribution to the firm's output, but there are also production complementarities: some pairs of workers generate an output proportional to the product of their efforts. In our model, the pattern of these complementarities is exogenously given and defines a network.

Original languageEnglish (US)
Title of host publicationEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
PublisherAssociation for Computing Machinery, Inc
Pages512
Number of pages1
ISBN (Electronic)9798400701047
DOIs
StatePublished - Jul 9 2023
Event24th ACM Conference on Economics and Computation, EC 2023 - London, United Kingdom
Duration: Jul 9 2023Jul 12 2023

Publication series

NameEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation

Conference

Conference24th ACM Conference on Economics and Computation, EC 2023
Country/TerritoryUnited Kingdom
CityLondon
Period7/9/237/12/23

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Economics and Econometrics
  • Computational Mathematics
  • Statistics and Probability

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