We study optimal incentive contracts when commitments are limited, and agents have multiple tasks and career concerns. The agent's career concerns are determined by the outside market. We show that the principal might want to give the strongest explicit incentives to agents far from retirement...

Incentive contracts must typically be based on performance measures that do not exactly match agents' true contribution to principals' objectives. Such misalignment may impose difficulties for effective incentive design. We analyze to what extent implicit dynamic incentives such as career...

We apply the dynamic stochastic framework proposed in recent evolutionary literature to a class of coordination games played simultaneously by the entire population. In these games payoffs, and hence best replies, are determined by a summary statistic of the population strategy profile. We...

We analyze the dynamic interaction between imitation and myopic optimization in an environment of changing marginal payoffs. Focusing on finite irreducible environments, we unfold a trade-off between the degree of interaction and the size of environmental shocks. The optimizer outperforms the...

We examine an evolutionary model of equilibrium selection, where all individuals interact with each other, recurrently playing a strictly supermodular game. Individuals play (myopic) best responses to the current population profile, occa- sionally they pick an arbitrary strategy at random. To...

We apply the stochastic evolutionary approach of equilibrium selection tomacroeconomic models in which a complementarity at the macro level ispresent. These models often exhibit multiple Pareto-ranked Nash equilibria,and the best response-correspondence of an individual increases with ameasure...