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Agency Problem and Mean Field System of Agents with Moral Hazard, Synergistic Effects and Accidents

Author

Listed:
  • Thibaut Mastrolia

    (Department of Industrial Engineering and Operations Research)

  • Jiacheng Zhang

    (The Chinese University of Hong Kong Shatin)

Abstract

We investigate the existence of an optimal policy to monitor a mean field system of agents managing a risky project under moral hazard with accidents modeled by Lévy processes magnified by the law of the project. We provide a general method to find both a mean field equilibrium for the agents and the optimal compensation policy under general, sufficient and necessary assumptions on all the parameters. We formalize the problem as a bilevel optimization with the probabilistic version of a mean field games which can be reduced to a controlled McKean-Vlasov SDE with jumps. We apply our results to an optimal energy demand-response problem with a crowd of consumers subjected to power cut/shortage when the variability of the energy consumption is too high under endogenous or exogenous strains. In this example, we get explicit solution to the mean field game and to the McKean-Vlasov equation with jumps.

Suggested Citation

  • Thibaut Mastrolia & Jiacheng Zhang, 2025. "Agency Problem and Mean Field System of Agents with Moral Hazard, Synergistic Effects and Accidents," Journal of Optimization Theory and Applications, Springer, vol. 205(3), pages 1-32, June.
  • Handle: RePEc:spr:joptap:v:205:y:2025:i:3:d:10.1007_s10957-025-02664-x
    DOI: 10.1007/s10957-025-02664-x
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    References listed on IDEAS

    as
    1. Thibaut Mastrolia, 2017. "Moral hazard in welfare economics: on the advantage of Planner's advices to manage employees' actions," Working Papers hal-01504473, HAL.
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