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Discussion Paper
The FRBNY DSGE Model Forecast
The U.S. economy has been in a gradual but slow recovery. Will the future be more of the same? This post presents the current forecasts from the Federal Reserve Bank of New York’s (FRBNY) DSGE model, described in our earlier “Bird’s Eye View” post, and discusses the driving forces behind the forecasts. Find the code used for estimating the model and producing all the charts in this blog series here. (We should reiterate that these are not the official New York Fed staff forecasts, but only an input to the overall forecasting process at the Bank.)
Discussion Paper
Combining Models for Forecasting and Policy Analysis
Model uncertainty is pervasive. Economists, bloggers, policymakers all have different views of how the world works and what economic policies would make it better. These views are, like it or not, models. Some people spell them out in their entirety, equations and all. Others refuse to use the word altogether, possibly out of fear of being falsified. No model is “right,” of course, but some models are worse than others, and we can have an idea of which is which by comparing their predictions with what actually happened. If you are open-minded, you may actually want to combine models in ...
Working Paper
Impulse-Based Computation of Policy Counterfactuals
We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints. The procedure does not require knowledge of the structural or reduced-form equations of the model, its state variables, or its shock processes. Forecasts of the variables entering the policy problem, and impulse response functions of these variables to anticipated policy shocks under an arbitrary policy, constitute sufficient information to construct valid counterfactuals. We show how to compute solutions for instrument rules and optimal discretionary and commitment ...
Working Paper
Trade adjustment dynamics and the welfare gains from trade
We build a micro-founded two-country dynamic general equilibrium model in which trade responds more to a cut in tariffs in the long run than in the short run. The model introduces a time element to the fixed-variable cost trade-off in a heterogeneous producer trade model. Thus, the dynamics of aggregate trade adjustment arise from producer-level decisions to invest in lowering their future variable export costs. The model is calibrated to match salient features of new exporter growth and provides a new estimate of the exporting technology. At the micro level, we find that new exporters ...
Discussion Paper
Disinflation Policies with a Flat Phillips Curve
Yesterday’s post analyzed the drivers of the surge in inflation over the course of 2021 through the lens of the New York Fed DSGE model. In today’s post, we use the model to study how alternative monetary policy strategies might contribute to bringing inflation back down to 2 percent. Our main finding is that there is no monetary silver bullet. Due to a flat Phillips curve—a well–documented feature of the economic environment of the last three decades—monetary policy can only achieve faster disinflation at a considerable cost in terms of forgone economic activity. This is true ...
Discussion Paper
Drivers of Inflation: The New York Fed DSGE Model’s Perspective
After a sharp decline in the first few months of the COVID-19 pandemic, inflation rebounded in the second half of 2020 and surged through 2021. This post analyzes the drivers of these developments through the lens of the New York Fed DSGE model. Its main finding is that the recent rise in inflation is mostly accounted for by a large cost-push shock that occurred in the second quarter of 2021 and whose inflationary effects persist today. Based on the model’s reading of historical data, this shock is expected to fade gradually over the course of 2022, returning quarterly inflation to close to ...
Report
Liquidity policies and systemic risk
The growth of wholesale-funded credit intermediation has motivated liquidity regulations. We analyze a dynamic stochastic general equilibrium model in which liquidity and capital regulations interact with the supply of risk-free assets. In the model, the endogenously time-varying tightness of liquidity and capital constraints generates intermediaries? leverage cycle, influencing the pricing of risk and the level of risk in the economy. Our analysis focuses on liquidity policies? implications for household welfare. Within the context of our model, liquidity requirements are preferable to ...
Discussion Paper
Choosing the Right Policy in Real Time (Why That’s Not Easy)
As an economist, you make policy recommendations at any point in time that depend on what model of the economy you have in mind and on your assessment of the state of the economy. One can see these points play out in the current discussion about the timing of interest rate liftoff and the speed of the subsequent renormalization. If you think nominal rigidities are not all that important, you are likely to conclude that accommodative policies won’t do much for growth but will generate inflation. Similarly, if you are convinced that the economy is already firing on all cylinders, you may see ...
Working Paper
Switching Volatility in a Nonlinear Open Economy
Uncertainty about an economy’s regime can change drastically around a crisis. An imported crisis such as the global financial crisis in the euro area highlights the effect of foreign shocks. Estimating an open-economy nonlinear dynamic stochastic general equilibrium model for the euro area and the United States including Markov-switching volatility shocks, we show that these shocks were significant during the global financial crisis compared with periods of calm. We describe how U.S. shocks from both the real economy and financial markets affected the euro area economy and how bond ...
Discussion Paper
Forecasting with Julia
A little more than a year ago, in this post, we announced DSGE.jl—a package for working with dynamic stochastic general equilibrium (DSGE) models using Julia, the open-source computing language. At that time, DSGE.jl contained only the code required to specify, solve, and estimate such models using Bayesian methods. Now, we have extended the package to provide the additional code needed to produce economic forecasts, counterfactual simulations, and inference on unobservable variables, such as the natural rate of interest or the output gap. The old, pre-Julia version of the code, which was ...