We analyze relational contracts for a set of agents when either (a) only aggregate output or (b) individual outputs are observable. A team incentive scheme, where each agent is paid a bonus for aggregate output above a threshold, is optimal in case (a). The team's efficiency may increase...

Reward systems based on balanced scorecards typically connect pay to an index, i.e. a weighted sum of multiple performance measures. We show that such an index contract may indeed be optimal if performance measures are non-verifiable so that the contracting parties must rely on self-enforcement....

Why does individual performance pay seem to prevail in human capital intensive industries? We present a model that may explain this. In a repeated game model of relational contracting, we analyze the conditions for implementing peer dependent incentive regimes when agents possess indispensable...

We analyze relational contracts for a set of agents when either (a) only aggregate output or (b) individual outputs are observable. A team incentive scheme, where each agent is paid a bonus for aggregate output above a threshold, is optimal in case (a). The team’s efficiency may increase...

Why does individual performance pay seem to prevail in human capital intensive industries? We present a model that may explain this. In a repeated game model of relational contracting, we analyze the conditions for implementing peer dependent incentive regimes when agents possess indispensable...

We analyze relational contracts for a set of agents when either (a) only aggregate output or (b) individual outputs are observable. A team incentive scheme, where each agent is paid a bonus for aggregate output above a threshold, is optimal in case (a). The team’s efficiency may increase...

Reward systems based on balanced scorecards typically connect pay to an index, i.e. a weighted sum of multiple performance measures. We show that such an index contract may indeed be optimal if performance measures are non-verifiable so that the contracting parties must rely on self-enforcement....