Regime-switching rational expectations models, in which the parameters of the model evolve according to a finite state Markov process, have properties that differentiate them from linear models. Issues that are well understood in linear contexts, such as equilibrium determinacy and stability...

This paper examines the implications of forward- and backward-looking monetary policy rules in an environment with monetary-fiscal interactions. We find that the unique stationary rational expectations equilibrium (REE) is always non-Ricardian under simple implementable monetary policy rules....

This paper introduces dynamic predictor selection into a New Keynesian model with heterogeneous expectations and examines its implications for monetary policy. We extend Branch and McGough (2009) by incorporating endogenous time-varying predictor proportions along the lines of Brock and Hommes...

This paper develops an adaptive learning formulation of an extension to the Ball, Mankiw, and Reis (2005) sticky information model that incorporates endogenous inattention. We show that, following an exogenous increase in the policymaker’s preferences for price vs. output stability, the...

This paper addresses the output-price volatility puzzle by studying the interaction of optimal monetary policy and agents' beliefs. We assume that agents choose their information acquisition rate by minimizing a loss function that depends on expected forecast errors and information costs....

Many models of monetary policy predict a trade-off between inflation and output variance despite compelling evidence that the Federal Reserve has become more aggressive in fighting inflation and there has been a resulting decline in both inflation and output variance. We address this apparent...

Within a New Keynesian model, we incorporate bounded rationality at the individual agent level, and we determine restrictions on expectations operators sufficient to imply aggregate IS and AS relations of the same functional form as those under rationality. This result provides dual...

Incorporating adaptive learning into macroeconomics requires assumptions about how agents incorporate their forecasts into their decision-making. We develop a theory of bounded rationality that we call finite-horizon learning. This approach generalizes the two existing benchmarks in the...