Firms often use both objective/verifiable and subjective/non-verifiable performance measures to provide employees with effort incentives. We study a principal/multi-agent model in which a verifiable team-based performance measure and nonverifiable individual performance measures (one for each agent) are available for contracting. A problem with tying rewards to non-verifiable measures is that the principal has incentives to understate the realization of those measures in order to reduce compensation. We compare two mechanisms for overcoming this credibility problem: bonus pools and reputation. While reputation is fostered by repeated interactions (a low discount rate), repeated interactions create opportunities for agent-agent collusion und...
Abstract. We study optimal contracting in a setting where a \u85rm repeatedly interacts with multipl...
This paper analyzes the use of alternative performance measures in an agency model in which contract...
This paper analyzes a multi-task agency framework where the agent exhibits task-specific abilities. ...
Relational Contracts as a Foundation for Bonus Pools Abstract: Much of our thinking about (and crit...
The paper analyzes conditions for implementing incentive schemes based on, respectively joint, relat...
The paper analyzes conditions for implementing incentive schemes based on, respectively joint, relat...
This paper investigates a repeated employment relationship between a principal and a team of agents ...
We analyze relational contracts between a principal and a set of risk-neutral agents whose outputs a...
We analyze relational contracting between a principal and a team of agents where only aggregate outp...
Incentive schemes for teams are compared. I ask: under which conditions are relational incentive con...
This paper considers a principal-agent relationship and explores the incentive provision when the ag...
We study optimal dynamic contracting for a firm with multiple workers where compensation is based on...
Abstract: This paper explores optimal discretionary rewards based on subjective/non-verifiable perf...
Abstract. Team-based work practices are ubiquitous, and most organizations collect infor-mation abou...
We study optimal contracting in a setting where a firm repeatedly interacts with multiple workers, an...
Abstract. We study optimal contracting in a setting where a \u85rm repeatedly interacts with multipl...
This paper analyzes the use of alternative performance measures in an agency model in which contract...
This paper analyzes a multi-task agency framework where the agent exhibits task-specific abilities. ...
Relational Contracts as a Foundation for Bonus Pools Abstract: Much of our thinking about (and crit...
The paper analyzes conditions for implementing incentive schemes based on, respectively joint, relat...
The paper analyzes conditions for implementing incentive schemes based on, respectively joint, relat...
This paper investigates a repeated employment relationship between a principal and a team of agents ...
We analyze relational contracts between a principal and a set of risk-neutral agents whose outputs a...
We analyze relational contracting between a principal and a team of agents where only aggregate outp...
Incentive schemes for teams are compared. I ask: under which conditions are relational incentive con...
This paper considers a principal-agent relationship and explores the incentive provision when the ag...
We study optimal dynamic contracting for a firm with multiple workers where compensation is based on...
Abstract: This paper explores optimal discretionary rewards based on subjective/non-verifiable perf...
Abstract. Team-based work practices are ubiquitous, and most organizations collect infor-mation abou...
We study optimal contracting in a setting where a firm repeatedly interacts with multiple workers, an...
Abstract. We study optimal contracting in a setting where a \u85rm repeatedly interacts with multipl...
This paper analyzes the use of alternative performance measures in an agency model in which contract...
This paper analyzes a multi-task agency framework where the agent exhibits task-specific abilities. ...