Summary
The optimal incentives for a team are analyzed in a principal-agent model. It is shown that it can be beneficial to make an agent’s compensation positively dependent on another agent’s success even when tasks are technologically independent. The introduction of team compensation induces implicit cooperation and mutual monitoring. This is modeled explicitly in a repeated game. Team compensation can be optimal even in cases, where in the static model relative performance evaluation is preferred. It is the more beneficial the higher the probability of an ongoing relationship.
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Der Autor dankt Matthias Kräkel, Urs Schweizer und Joachim Wessels für sehr hilfreiche Hinweise und Kommentare.