Team Incentives and Reference-Dependent Preferences

We investigate a multi-agent moral-hazard model where agents have expectation-based reference-dependent preferences a la Koszegi and Rabin (2006, 2007). We show that even when each agent's probability of success in a project is independent, team incentives can be optimal. Because the agents are loss averse, they have first-order risk aversion to wage uncertainty. This causes the agents to work harder when their own failure is stochastically compensated through other agents' performance. In the optimal contract, both high- and low-performance agents are equally rewarded if most agents accomplish their projects; otherwise only high-performance agents are rewarded.