Recent models of monetary policy have analysed the desirability of different optimal and ad hoc interest-rate rules under the restrictive assumption that forecasts of the private sector and central bank are homogeneous. In this paper, we study from a learning perspective the implications of...

We study how the use of judgement or add-factorsʺ in macroeconomic forecasting may disturb the set of equilibrium outcomes when agents learn using recursive methods. We isolate conditions under which new phenomena, which we call exuberance equilibria, can exist in standard macroeconomic...

This paper considers the nominal and real determinacy of equilibria under an exogenously specified path of interest rates in an economy in which taxation is either lump-sum or distortionary. Under lump-sum taxation, we confirm the well-known finding that equilibria display nominal...

This paper examines monetary policy implementation in a sticky price model. The central bank's plan under discretionary optimization is entirely forward-looking and exhibits multiple equilibrium solutions if transactions frictions are not negligibly small. The central bank can then implement...

This paper examines how money demand induced real balance effects contribute to the determination of the price level, as suggested by Patinkin (1949,1965), and if they affect conditions for local equilibrium uniqueness and stability. There exists a unique price level sequence that is consistent...

We examine global dynamics under learning in a nonlinear New Keynesian model when monetary policy uses price-level targeting and compare it to inflation targeting. Domain of attraction of the targeted steady state gives a robustness criterion for policy regimes. Robustness of price-level...

We examine global economic dynamics under infinite-horizon learning in a New Keynesian model in which the interest-rate rule is subject to the zero lower bound. As in Evans, Guse and Honkapohja, European Economic Review (2008), we find that under normal monetary and fiscal policy the intended...