TY - GEN
T1 - Optimal Delegation in a Multidimensional World
AU - Kleiner, Andreas
N1 - Publisher Copyright: © 2023 Owner/Author(s).
PY - 2023/7/9
Y1 - 2023/7/9
N2 - In this paper, we investigate an optimal delegation model with multidimensional actions and multidimensional states of the world. The principal is responsible for taking an action, and her payoff is influenced by an unknown state of the world, which represents the agent's private information. No monetary transfers are available. Since the principal's and agent's preferences are not aligned, the agent is unwilling to simply disclose the state. The principal can employ arbitrary mechanisms, including stochastic ones, and her objective is to maximize her expected payoff.
AB - In this paper, we investigate an optimal delegation model with multidimensional actions and multidimensional states of the world. The principal is responsible for taking an action, and her payoff is influenced by an unknown state of the world, which represents the agent's private information. No monetary transfers are available. Since the principal's and agent's preferences are not aligned, the agent is unwilling to simply disclose the state. The principal can employ arbitrary mechanisms, including stochastic ones, and her objective is to maximize her expected payoff.
KW - multidimensional mechanism design
KW - no transfers
KW - optimal delegation
UR - https://www.scopus.com/pages/publications/85168101437
UR - https://www.scopus.com/pages/publications/85168101437#tab=citedBy
U2 - 10.1145/3580507.3597815
DO - 10.1145/3580507.3597815
M3 - Conference contribution
T3 - EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
SP - 937
BT - EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
PB - Association for Computing Machinery, Inc
T2 - 24th ACM Conference on Economics and Computation, EC 2023
Y2 - 9 July 2023 through 12 July 2023
ER -