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...

The main advantage of price level stabilization compared with inflation stabilization rests on the central bank's ability to shape expectations. We show that stabilizing prices is no longer optimal when the central bank can shape expectations of agents with incomplete knowledge, who have to...

We derive the optimal monetary policy in a sticky price model when private agents follow adaptive learning. We show that this slight departure from rationality has important implications for policy design. The central bank faces a new intertemporal trade-off, not present under rational...

We study an endowment economy with complete markets and heterogeneous agents who do not have rational expectations, but form their beliefs using adaptive learning algorithms that may differ from one individual to another. We show that market completeness allows agents to smooth consumption...

We derive the optimal monetary policy in a sticky price model when private agents follow adaptive learning. We show that this slight departure from rationality has important implications for policy design. The central bank faces a new intertemporal trade-off, not present under rational...