Expectations play a central role in modern macroeconomics. The econometric learning approach, in line with the cognitive consistency principle, models agents as forming expectations by estimating and updating subjective forecasting models in real time. This approach provides a stability test for...

We examine global dynamics under learning in New Keynesian models with price level targeting that is subject to the zero lower bound. The role of forward guidance is analyzed under transparency about the policy rule. Properties of transparent and non-transparent regimes are compared to each...

This paper shows that the Ricardian Equivalence proposition can continue to hold when expectations are not rational and are instead formed using adaptive learning rules. In temporary equilibrium, with given expectations, Ricardian Equivalence holds under the standard conditions for its validity...

What is the impact of surprise and anticipated policy changes when agents form expectations using adaptive learning rather than rational expectations? We examine this issue using the standard stochastic real business cycle model with lump-sum taxes. Agents combine knowledge about future policy...

We study a many-country endogenous growth model in which decisions about innovation and new investment are influenced by growth expectations. Adaptive learning dynamics determine the country-specific short-run transition paths. The countries differ in basic structural parameters and may impose...

We examine global dynamics under infinite-horizon learning in New Keynesian models where the interest-rate rule is subject to the zero lower bound. As in Evans, Guse and Honkapohja (2008), the intended steady state is locally but not globally stable. Unstable deflationary paths emerge after...

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...

​We examine global dynamics under infinite-horizon learning in New Keynesian models where monetary policy practices either price-level or nominal GDP targeting and compare these regimes to inflation targeting. These interest-rate rules are subject to the zero lower bound. Robustness of the...

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...

This paper considers the performance of average inflation targeting (AIT) policy in a New Keynesian model with adaptive learning agents. Our analysis raises concerns regarding robustness of AIT when agents have imperfect knowledge. In particular, the target steady state can be locally unstable...