We describe an algorithm for calculating second order approximations to the solutions to nonlinear stochastic rational expectation models. The paper also explains methods for using such an approximate solution to generate forecasts, simulated time paths for the model, and evaluations of expected...

We use simulations of the Federal Reserve's FRB/US model to examine the efficacy of a number of proposals for reducing the consequences of the zero bound on nominal interest rates. Among the proposals are: a more aggressive monetary policy; promises to make up any shortfall in monetary ease...

The zero lower bound on nominal interest rates constrains the central bank's ability to stimulate the economy during downturns. We use the FRB/US model to quantify the effects of the bound on macroeconomic stabilization and to explore how policy can be designed to minimize these effects. During...

We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from Efficient Method of Moments estimation provides considerable support for the regime shifts model. Standard models, which include affine...

We investigate the performance of forecast-based monetary policy rules using five macroeconomic models that reflect a wide range of views on aggregate dynamics. We identify the key characteristics of rules that are robust to model uncertainty: such rules respond to the one-year ahead inflation...

In this paper, we structurally model uncertainty with a micro-founded model, and investigate its implications for optimal monetary policy. Uncertainty about deep parameters of the model implies that the central bank simultaneously faces both uncertainty about the structural dynamic equations and...

This paper analyzes the optimality of reactive feedback rules advocated by neo-Keynesians, and constant money growth rules proposed by monetarists. The basis for this controversy is not merely a disagreement concerning sources and impacts of uncertainty in the economy, but also an apparent...

We exploit data on historical revisions to real-time estimates of the output gap to examine the implications of measurement error for the design of monetary policy, using the Federal Reserve's model of the U.S. economy, FRB/US. Measurement error brings about a substantial deterioration in...

A dynamic stochastic general-equilibrium (DSGE) model with real and nominal rigidities succeeds in capturing some key nominal features of U.S. business cycles. Additive technology shocks, as well as multiplicative shocks, are introduced. Monetary policy is specified following the developments in...