data when the agent's beliefs about the model are updated through linear learning algorithms. We find that learning in this … learning algorithm is recursive least squares, long memory arises when the coefficient on expectations is sufficiently large … endogenous variable is determined exogenously. Finally, this property of learning is used to shed light on some well …

are in the dark about what others are doing and how their own payo s are a ected. This paper analyzes learning behavior in … identify two key features of the players' learning dynamics. First, if a player's realized payoff increases he is less inclined …

neighbour sunspot trajectories, and convergence of " evolutive " and " eductive " learning processes. It examines, within a set …

stability under learning whenever agents try to estimate both the law of motion of the state variable and the stationary state …

dynamics, and its local stability in dynamics arising from econometric learning procedures. Attention is focused on linear … in the perfect foresight dynamics on the levels of the state variable, and its stability under learning. The paper … stability under learning provided that a simple sign condition is satisfied. …

learning schemes can be compared in terms of the consumption behaviour that they yield. We show that neither purely adaptive … learning, nor social learning based on imitation can ensure satisfactory consumption behaviours. By contrast, if the agents can … terms of its regularity, and its ability to improve performance (which is as a clear manifestation of learning). Our results …

bargaining outcomes. It develops and tests Kuhn and Gu's model (1999) of learning in sequential wage negotiations, by means of …