We study optimal contracting in team settings, featuring stylized aspects of production environments with complex tasks. Agents have many opportunities to shirk, task-level monitoring is needed to provide useful incentives, and because it is difficult to write individual performance into formal contracts, incentives are provided informally, using wasteful sanctions like guilt and shame, or slowed promotion. These features give rise to optimal contracts with “empty promises” and endogenous supervision structures. Agents optimally make more promises than they intend to keep, leading to the concentration of supervisory responsibility in the hands of one or two agents
We characterize optimal incentive contracts in a moral hazard framework extended in two directions. ...
A repeated moral hazard setting in which the Principal privately observes the Agentfs output is stud...
This article explores the link between productive relational contracts and corruption. Responsibilit...
We study optimal contracting in team settings, featuring stylized aspects of production environments...
We study optimal contracting in a team setting with moral hazard, where teammates promise to complet...
We analyze a principal-supervisor-two-agent hierarchy with inefficient supervision. The su-pervisor ...
We consider a situation where an agent's effort is monitored by a supervisor who cares for the agent...
Recent technology advances have enabled firms to flexibly process and analyze sophisticated employee...
This paper studies the value of more precise signals on agent performance in an optimal contracting ...
We characterize optimal incentive contracts in a moral hazard framework extended in two directions. ...
We study optimal contracting in a setting where a firm repeatedly interacts with multiple workers, an...
We propose a theory of supervision with endogenous transaction costs. A principal delegates part of ...
We examine the effects of endogenous assignment to incentive contracts on worker productivity. Assig...
This dissertation analyzes the incentives of workers in organizations that utilize teams. In Chapter...
We study optimal contracts when employees are averse to inequity as modelled by Fehr and Schmidt (19...
We characterize optimal incentive contracts in a moral hazard framework extended in two directions. ...
A repeated moral hazard setting in which the Principal privately observes the Agentfs output is stud...
This article explores the link between productive relational contracts and corruption. Responsibilit...
We study optimal contracting in team settings, featuring stylized aspects of production environments...
We study optimal contracting in a team setting with moral hazard, where teammates promise to complet...
We analyze a principal-supervisor-two-agent hierarchy with inefficient supervision. The su-pervisor ...
We consider a situation where an agent's effort is monitored by a supervisor who cares for the agent...
Recent technology advances have enabled firms to flexibly process and analyze sophisticated employee...
This paper studies the value of more precise signals on agent performance in an optimal contracting ...
We characterize optimal incentive contracts in a moral hazard framework extended in two directions. ...
We study optimal contracting in a setting where a firm repeatedly interacts with multiple workers, an...
We propose a theory of supervision with endogenous transaction costs. A principal delegates part of ...
We examine the effects of endogenous assignment to incentive contracts on worker productivity. Assig...
This dissertation analyzes the incentives of workers in organizations that utilize teams. In Chapter...
We study optimal contracts when employees are averse to inequity as modelled by Fehr and Schmidt (19...
We characterize optimal incentive contracts in a moral hazard framework extended in two directions. ...
A repeated moral hazard setting in which the Principal privately observes the Agentfs output is stud...
This article explores the link between productive relational contracts and corruption. Responsibilit...