We study optimal monetary policy in a heterogeneous agent new Keynesian economy. A utilitarian planner seeks to reduce consumption inequality, in addition to stabilizing output gaps and inflation. The planner does so both by reducing income risk faced by households, and by reducing the...

We document the real-time forecasting performance for output and inflation of the New York Fed dynamic stochastic general equilibrium (DSGE) model since 2011. We find the DSGE's accuracy to be comparable to that of private forecasters before Covid, but somewhat worse thereafter.

We present an incomplete markets model to understand the costs and benefits of increasing government debt in a low interest rate environment. Higher risk increases the demand for safe assets, lowering the natural rate of interest below zero, constraining monetary policy at the zero lower bound,...

We re-examine the relationship between monetary policy and financial stability in a setting that allows for nonlinear, time-varying relationships between monetary policy, financial stability, and macroeconomic outcomes. Using novel machine-learning techniques, we estimate a flexible "nonlinear...

We develop a two-sector New Keynesian model to analyze the inflationary effects of climate policies. Climate policies do not force a central bank to tolerate higher inflation, but may generate a tradeoff between the central bank's objectives for inflation and real activity. The presence and size...

We provide a toolkit for efficient online estimation of heterogeneous agent (HA) New Keynesian (NK) models based on Sequential Monte Carlo methods. We use this toolkit to compare the out-of-sample forecasting accuracy of a prominent HANK model, Bayer et al. (2022), to that of the representative...