Chevillon, Guillaume; Mavroeidis, Sophocles - ESSEC Business School - 2011
We consider a prototypical representative-agent forward-looking model, and study the low frequency variability of the data when the agent's beliefs about the model are updated through linear learning algorithms. We nd that learning in this context can generate strong persistence. The degree of...