Studies of the diffusion of policies and institutions tend to focus on innovations that successfully spread across governments. Implicit in such diffusion is the abandonment of the previous policy or institution. This paper focuses directly on the abandonment of welfare policies under the...

We interpret the Open Method of Coordination (OMC), recently adopted by the EU as a mode of governance in the area of social policy and other fields, as an imitative learning dynamics of the type considered in evolutionary game theory. The best-practise feature and the iterative design of the...

Evolutionary stability is a necessary condition for imitative dynamics of policy learning and innovation to come to a rest. We apply this concept to profit tax competition in a regime where a common and consolidated profit tax base for multi-jurisdictional firms is divided among governments...

This paper exploits detailed information on local political and socioeconomic networks and a reform of local fiscal equalization in North Rhine-Westphalia (NRW) to identify the role of learning in local tax rate interactions. Using this policy change in spatial lag IV regressions, we find that...

This paper exploits detailed information on local political and socioeconomic networks and a reform of local fiscal equalization in North Rhine-Westphalia (NRW) to identify the role of learning in local tax rate interactions. Using this policy change in spatial lag IV regressions, we find that...

In this article, a modelling framework for the information transmission between agents in an evolutionary game setting is proposed. Agents observe traits which reaect past and present behaviour and success of other agents. If agents imitate more successful agents based on these traits, the...

We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The 'TASP' (Time Average of the Shapley Polygon) gives a precise prediction about what happens when there is divergence from equilibrium under fictitious play like learning processes. We...

This paper analyzes a two-player game of strategic experimentation with three-armed exponential bandits in continuous time. Players face replica bandits, with one arm that is safe in that it generates a known payoff, whereas the likelihood of the risky arms' yielding a positive payoff is...

We show that for many classes of symmetric two-player games, the simple decision rule "imitate-the-best" can hardly be beaten by any other decision rule. We provide necessary and sufficient conditions for imitation to be unbeatable and show that it can only be beaten by much in games that are of...

We show that in symmetric two-player exact potential games, the simple decision rule "imitate-if-better" cannot be beaten by any strategy in a repeated game by more than the maximal payoff difference of the one-period game. Our results apply to many interesting games including examples like 2x2...