becomes convoluted with information and payoff spillovers. The threat of competition pushes firms to enter earlier to preempt … their rivals while the possibility of learning make them cautiously wait for others to take action. This combination amounts … elusive link between static market competition and dynamic entry competition. …

favourable beliefs. We consider a specific example in which this reinforcement mechanism implies that players fail to learn their …

electoral competition. In this paper, we advance research on electoral competition by developing a multidimensional model of … electoral competition in which parties compete for electoral support by raising the electoral salience of position issues. We …

decisions about the level of the public good. We derive the following results: i) Political competition is a necessary but not a … select institutions which restrict the power of politicians. iii) In conjunction with political competition, these …

We suggest a model of electoral competition between two parties which is extended by a third player : mass media. The … classical one-dimensional competition model is changed by introducing an issue-specific sensibility-coefficient and by allowing …

at the party level is inversely correlated with uncertainty-based measures of electoral competition, suggesting that … movements in long run ENP closer to 2 are an indicator of more rather than less electoral competition. …

I study a one-dimensional Hotelling-Downs model of electoral competition in which unelectable fringe candidates with …

This exercise offers an innovative learning mechanism to model economic agent's decision-making process using a deep … reinforcement learning algorithm. In particular, this AI agent is born in an economic environment with no information on the … adjusting its actions accordingly (i.e., online learning). I illustrate that the economic agent under deep reinforcement …

This chapter provides a survey of the recent work on learning in the context of macroeconomics. Learning has several … roles. First, it provides a boundedly rational model of how rational expectations can be achieved. Secondly, learning acts … as a selection device in models with multiple REE (rational expectations equilibria). Third, the learning dynamics …