We study optimal incentive contracts offered to teams where team members feel a social pressure to exert similar effort levels. The team consists of two groups of agents differing in their productivity. We characterize first best and the equilibrium under agency. Regarding economic incentives,...

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...

In recent years, decentralization of financial and political power has been perceived as a useful means to improve outcomes of the health care sector of many European countries. Such reforms could be the result of fashionable policy trends, rather than being based on knowledge of "what works"....

Objective Targeting hospital treatment at patients with high priority would seem to be a natural policy response to the growing gap between what can be done and what can be financed in the specialist health care sector. The paper examines the distributional consequences of this policy.Method...

We apply the dynamic stochastic framework proposed by recent evolutionary literature to the class of strict supermodular games when two simple behavior rules coexist in the population, imitation and myopic optimization. We assume that myopic optimizers are able to see how well their payoff does...

We apply the dynamic stochastic framework proposed by recent evolutionaryliterature to the class of strict supermodular games when two simplebehavior rules coexist in the population, imitation and myopic optimization.We assume that myopic optimizers are able to see how well their payoff...