Machine learningGame-theoretic

Principal-Agent Model

The Principal-Agent Model analyzes how a principal (e.g., owner, employer, policymaker) can incentivize an agent (e.g., manager, employee, firm) to act in the principal's interest when the agent has private information or can take hidden actions. Formalized by Jensen and Meckling in 1976, the model identifies agency costs arising from moral hazard (the agent exerts less effort than desired) and adverse selection (the agent hides unfavorable information). Optimal contracts balance incentives with risk allocation.

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Sources

  1. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360. DOI: 10.1016/0304-405X(76)90026-X
  2. Holmstrom, B. (1991). The firm as a subpoena server. Journal of Law, Economics and Organization, 7(2), 53-64. DOI: 10.1093/jleo/7.special_issue.53

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Referenced by

ScholarGatePrincipal-Agent Model (Principal-Agent Model with Asymmetric Information and Moral Hazard). Retrieved 2026-06-04 from https://scholargate.app/en/game-theory/principal-agent-model