In this article, a dynamic Principal–Agent model with discrete actions is analysed from a Multi-Objective optimization framework. As a result, a concave Pareto Frontier is numerically approximated. The concavity of the Pareto Frontier is a consequence of the information asymmetry between the...

We analyze a situation where a Principal does not necessarily have all the bargaining power while negotiating a contract with an Agent by studying a dynamic multi-objective moral hazard model with hidden action. We .nd that the structure of the optimal contracts change along the Pareto Frontier,...

We use Evolutionary Algorithms to approximate the Pareto frontier of a dynamic Principal-Agent model with discrete actions. The Pareto frontier that we obtain is concave, a result that is due to the asymmetry of information between the Principal and the Agent. As we move in the Pareto frontier...