A well-known time-inconsistency problem hinders optimal decision-making when policymakers are constrained in their pesent choices by expectations of future outcomes.  The time-inconsistency problem is caused by differences in the preferences of policymakers who exist at different points in...

Disinflationary episodes are a valuable source of information for economic agents trying to learn about the economy.  This paper is especially interested in how a policymaker can themselves learn by disinflating.  The approach differs from the existing literature, which typically focuses on...

In response to the Great Financial Crisis, the Federal Reserve, the Bank of England and many other central banks have adopted unconventional monetary policy instruments.  We investigate if one of these, purchases of long-term government debt, could be a valuable addition to conventional...

We examine optimal policy in an open-economy model with uncertainty and learning, where monetary policy actions affect the economy through the real exchange rate channel. Our results show that the degree of caution or activism in optimal policy depends on whether central banks are in coordinated...

In this paper we examine the optimal level of central bank activism in a standard model of monetary policy with uncertainty, learning and strategic interactions. We calibrate the model using G7 data and find that the presence of strategic interactions between the central bank and private agents...

In this paper we examine the optimal level of central bank activism in a standard model of monetary policy with uncertainty, learning and strategic interactions. We calibrate the model using G7 data and find that the presence of strategic interactions between the central bank and private agents...

Disinflationary episodes are a valuable source of information for economic agents trying to learn about the economy. In this paper we are particularly interested in how policymakers can themselves learn by disinflating. The approach differs from the existing literature, which typically focuses...

Saddlepath learning occurs when agents learn adaptively using a perceived law of motion that has the same form as the saddlepath relationship in rational expectations equilibrium. Under saddlepath learning, we obtain a completely general relationship between determinacy and e-stability, and...