Optimal Long-term Contracting with Learning

Zhiguo He (何治国), Zhiguo He, Bin Wei, Jianfeng Yu, Feng Gao, Zhiguo He, Bin Wei, Jianfeng Yu, Feng Gao - Dec 13, 2016

We introduce uncertainty into Holmstrom and Milgrom (1987) to study optimal long-term contracting with learning. In a dynamic relationship, the agentís shirking not only reduces current performance, but also increases the agent's information rent due to the persistent belief manipulation effect. We characterize the optimal contract using the dynamic programming technique in which information rent is the unique state variable. In the optimal contract, the optimal effort is front-loaded and decreases stochastically over time. Furthermore, the optimal contract exhibits an option-like feature in that incentives increase after good performance. Implications about managerial incentives and asset management compensations are discussed.