This paper studies the optimal mechanism to motivate effort in a dynamic principal-agent model without transfers. An agent is engaged in a task with uncertain future rewards and can choose to shirk at any time. The principal knows the reward of the task and provides information to the agent over time. The optimal information policy can be characterized in closed form, revealing two key conditions that make dynamic disclosure valuable: one is that the principal is impatient compared with the agent; the other is that the environment makes the agent become pessimistic over time without any information disclosure. In a stationary environment, the principal benefits from dynamic disclosure if and only if she is less patient than the agent. Maxim...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
In this paper we analyze a dynamic agency problem where contracting parties do not know the agent's ...
We study a dynamic model of information provision. A state of na-ture evolves according to a Markov ...
A principal funds a multistage project and retains the right to cut the funding if it stagnates at s...
In the first chapter of the dissertation, When and How to Reward Bad News (joint with Aditya Kuvale...
We study a dynamic information design problem in a finite-horizon setting consisting of two strategi...
In the first chapter of the dissertation, When and How to Reward Bad News (joint with Aditya Kuvale...
This paper analyzes the optimal provision of incentives in a sequential testing context. In every pe...
This thesis asks about the value of information for providing incentives in principal agent models w...
What are the value and form of optimal persuasion when information can be generated only slowly? We ...
I study a continuous time principal-agent model in which an unknown parameter and the agent's hidden...
This dissertation addresses the effect of information on firm and individual behavior. The first cha...
We study a dynamic model of information provision. A state of nature evolves according to a Markov c...
This paper analyzes the optimal provision of incentives in a dynamic information acquisition process...
We consider a mechanism design environment where a principal can partially control agents' informati...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
In this paper we analyze a dynamic agency problem where contracting parties do not know the agent's ...
We study a dynamic model of information provision. A state of na-ture evolves according to a Markov ...
A principal funds a multistage project and retains the right to cut the funding if it stagnates at s...
In the first chapter of the dissertation, When and How to Reward Bad News (joint with Aditya Kuvale...
We study a dynamic information design problem in a finite-horizon setting consisting of two strategi...
In the first chapter of the dissertation, When and How to Reward Bad News (joint with Aditya Kuvale...
This paper analyzes the optimal provision of incentives in a sequential testing context. In every pe...
This thesis asks about the value of information for providing incentives in principal agent models w...
What are the value and form of optimal persuasion when information can be generated only slowly? We ...
I study a continuous time principal-agent model in which an unknown parameter and the agent's hidden...
This dissertation addresses the effect of information on firm and individual behavior. The first cha...
We study a dynamic model of information provision. A state of nature evolves according to a Markov c...
This paper analyzes the optimal provision of incentives in a dynamic information acquisition process...
We consider a mechanism design environment where a principal can partially control agents' informati...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
In this paper we analyze a dynamic agency problem where contracting parties do not know the agent's ...
We study a dynamic model of information provision. A state of na-ture evolves according to a Markov ...