Convention wisdom usually suggests that agents should use all the data they have to make the best possible prediction. In this paper it is shown that agents may sometimes be able to make better predictions by throwing away data. The optimality criterion agents adopt is the mean squared criterion.

This paper examines the implications of corporate manager's tendency to promote her private benefits by realizing inefficient investments that incurs a cost for shareholders in terms of lost shareholder value. Under reasonable conditions, we derive an expression for such a loss and propose a...

Learning with bounded memory in stochastic frameworks is incomplete in the sense that the learning dynamics cannot converge to an REE. The properties of the dunamics arising from such rules are studied for models with steady states. If in standard linear models the REE is in a certain sense...