We consider a two-stage principal-agent model with limited liability in which a CEO is employed as agent to gather information about suitable merger targets and to manage the merged corporation in case of an acquisition. Our results show that the CEO systematically recommends targets with low...

In a multi-agent setting, individuals often compare own performance with that of their peers. These comparisons in?uence agents? incentives and lead to a noncooperative game, even if the agents have to complete independent tasks. I show that depending on the interplay of the peer effects,...

The paper analyzes how the choice of organizational structure leads to the best compromise between controlling behavior based on authority rights and minimizing costs for implementing high efforts. Concentrated delegation and hierarchical delegation turn out to be never an optimal compromise. If...

Recent work in the field of mechanism design has led some researchers to propose institutional changes that would permit parties to enter into nonmodifiable contracts, which is not possible under current contract law. This paper demonstrates that it may well be socially desirable not to enforce...

We analyze innovation race in a moral hazard setting. We develop a model in which two competing entrepreneurs work independently on the same project. The entrepreneurs do not possess any wealth of their own and their research is financed by a venture capitalist. The project, if successful,...

In order to deliver an innovation principals employ competing agents in some circumstances, while employing research team in other circumstances. This paper compares various structures of R&D to provide a rational behind this observation. It is assumed, that the principal can employ either one...

This paper extends the standard principal-agent model with moral hazard to allow for agents having reference- dependent preferences according to Köszegi and Rabin (2006, 2007). The main finding is that loss aversion leads to fairly simple contracts. In particular, when shifting the focus from...