We extend the standard procurement model to examine how an agent is optimally induced to acquire valuable planning information before he chooses an unobservable level of cost-reducing effort. Concerns about information acquisition cause important changes in standard incentive contracts. Reward structures with extreme financial payoffs arise, and super-high-powered contracts are coupled with contracts that entail pronounced cost sharing. However, if the principal can assign the planning and production tasks to two different agents, then all contracting distortions disappear and, except for forgone economies of scope, the principal achieves her most preferred outcome
Two agents are involved in our model. The first agent is to announce a schedule of rewards (or, equ...
The owner of a real option does not have the necessary expertise to manage the investment project an...
The purpose of this dissertation is to extend the communication model to a situation where the agent...
The authors extend the standard procurement model to examine how an agent is optimally induced to ac...
This paper analyzes optimal incentive contracts for information acquisition and revelation. A decisi...
This paper studies the value of more precise signals on agent performance in an optimal contracting ...
AbstractAgents may contract some of their tasks to other agents even when they do not share a common...
The paper studies procurement contracts with pre-project investigations in the presence of adverse s...
We modify a standard Baron-Myerson model by assuming that, instead of knowing the state of nature, t...
In many economic situations, several principals contract with the same agents sequentially. From obs...
This paper studies the joint determination of optimal contracts and equilibrium asset prices in an e...
The paper studies procurement contracts with pre–project investigations in the pres-ence of adverse ...
The dissertation contains three essays on the theory of incentive contracting. Chapter 1 studies a p...
This article analyzes the optimal linear incentive contract to offer to would-be agents competing fo...
We consider an interdependent values auction environment. Bidders learn their valuations for the obj...
Two agents are involved in our model. The first agent is to announce a schedule of rewards (or, equ...
The owner of a real option does not have the necessary expertise to manage the investment project an...
The purpose of this dissertation is to extend the communication model to a situation where the agent...
The authors extend the standard procurement model to examine how an agent is optimally induced to ac...
This paper analyzes optimal incentive contracts for information acquisition and revelation. A decisi...
This paper studies the value of more precise signals on agent performance in an optimal contracting ...
AbstractAgents may contract some of their tasks to other agents even when they do not share a common...
The paper studies procurement contracts with pre-project investigations in the presence of adverse s...
We modify a standard Baron-Myerson model by assuming that, instead of knowing the state of nature, t...
In many economic situations, several principals contract with the same agents sequentially. From obs...
This paper studies the joint determination of optimal contracts and equilibrium asset prices in an e...
The paper studies procurement contracts with pre–project investigations in the pres-ence of adverse ...
The dissertation contains three essays on the theory of incentive contracting. Chapter 1 studies a p...
This article analyzes the optimal linear incentive contract to offer to would-be agents competing fo...
We consider an interdependent values auction environment. Bidders learn their valuations for the obj...
Two agents are involved in our model. The first agent is to announce a schedule of rewards (or, equ...
The owner of a real option does not have the necessary expertise to manage the investment project an...
The purpose of this dissertation is to extend the communication model to a situation where the agent...