Most studies of optimal monetary policy under learning rely on optimality conditions derived for the case when agents have rational expectations. In this paper, we derive optimal monetary policy in an economy where the Central Bank knows, and makes active use of, the learning algorithm agents...

We analyse a simplified New-Keynesian model with an unobserved aggregate cost-push shock in which firms and the central bank have different information about the shock. We consider a linear policy rule where a pure inflation targeting central bank decides how much to react to the shock given its...

We show that price level stabilization is not optimal in an economy where agents have incomplete knowledge about the policy implemented and try to learn it. A systematically more accommodative policy than what agents expect generates short term gains without triggering an abrupt loss of...

We investigate the determinants of inertia in Italian inflation, estimating a Phillips curve derived from a general equilibrium business-cycle model that allows for intrinsic and extrinsic sources of inflation persistence, along with trend inflation, and that encompasses both nominal and real...