I study covert information acquisition and reporting in a principal agent problem allowing for general technologies of information acquisition. When posteriors satisfy two dimensional versions of the standard First Order Stochastic Dominance and Concavity/Convexity of the Distribution Function conditions, a first-order approach is justified. Under the same conditions, in fort nativeness and riskiness of reports are equivalent. High powered contracts, that make the agent's informational rents more risky, are used to increase incentives for information acquisition, insensitive contracts are used to reduce incentives for information gathering. The value of information to the agent is always positive. The value of information to the principal i...
The Paper studies a straightforward adverse selection problem in which an informative but imperfect ...
In a Baron-Myerson setup, we study a situation where an agent is initially uninformed, but can, at a...
This paper investigates the design of incentives in a dynamic adverse selection framework when agent...
I study covert information acquisition and reporting in a principal agent problem allowing for gener...
A growing literature analyzes revenue-maximizing contracts for situations in which agents can acquir...
A risk-averse buyer and seller contract over the trade of an item. At the time of trading, they each...
This paper studies the joint determination of optimal contracts and equilibrium asset prices in an e...
We study optimal contracting in a communication setting in which an uninformed prin- cipal has the ...
We modify a standard Baron-Myerson model by assuming that, instead of knowing the state of nature, t...
I consider a situation, where the agent can acquire payoff-relevant information either before or aft...
The article studies an adverse selection model in which a contractible, imper-fect signal on the age...
We study a procurement problem where the distribution of types is determined by a productive, yet un...
The purpose of this dissertation is to extend the communication model to a situation where the agent...
This dissertation considers three problems related to the issue of asymmetric information. The first...
This thesis studies problems of asymmetric information with multiple agents. Each chapter models a d...
The Paper studies a straightforward adverse selection problem in which an informative but imperfect ...
In a Baron-Myerson setup, we study a situation where an agent is initially uninformed, but can, at a...
This paper investigates the design of incentives in a dynamic adverse selection framework when agent...
I study covert information acquisition and reporting in a principal agent problem allowing for gener...
A growing literature analyzes revenue-maximizing contracts for situations in which agents can acquir...
A risk-averse buyer and seller contract over the trade of an item. At the time of trading, they each...
This paper studies the joint determination of optimal contracts and equilibrium asset prices in an e...
We study optimal contracting in a communication setting in which an uninformed prin- cipal has the ...
We modify a standard Baron-Myerson model by assuming that, instead of knowing the state of nature, t...
I consider a situation, where the agent can acquire payoff-relevant information either before or aft...
The article studies an adverse selection model in which a contractible, imper-fect signal on the age...
We study a procurement problem where the distribution of types is determined by a productive, yet un...
The purpose of this dissertation is to extend the communication model to a situation where the agent...
This dissertation considers three problems related to the issue of asymmetric information. The first...
This thesis studies problems of asymmetric information with multiple agents. Each chapter models a d...
The Paper studies a straightforward adverse selection problem in which an informative but imperfect ...
In a Baron-Myerson setup, we study a situation where an agent is initially uninformed, but can, at a...
This paper investigates the design of incentives in a dynamic adverse selection framework when agent...