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Working Paper
Commodity Exports, Financial Frictions and International Spillovers
This paper offers a solution to the international co-movement puzzle found in open-economy macroeconomic models. We develop a small open-economy (SOE) dynamic stochastic general equilibrium (DSGE) model describing three endogenous channels that capture spillovers from the world to a commodity exporter: a world commodity price channel, a domestic commodity supply channel and a financial channel. We estimate our model with Bayesian methods on two commodity-exporting SOEs, namely Canada and South Africa. In addition to explaining international business cycle synchronization, the new model ...
Working Paper
Term Premium Variability and Monetary Policy
Two traditional explanations for the mean and variability of the term premium are: (i) time-varying risk premia on long bonds, and (ii) segmented markets between long- and short-term bonds. This paper integrates these two approaches into a medium-scale DSGE model. We consider two sources of business cycle variability: shocks to total factor productivity (TFP), and shocks to the marginal efficiency of investment (MEI). The ability of the risk approach to match the first moment of the term premium depends upon the relative importance of these two shocks. If MEI shocks are an important driver of ...
Discussion Paper
The FRBNY DSGE Model Meets Julia
We have implemented the FRBNY DSGE model in a free and open-source language called Julia. The code is posted here on GitHub, a public repository hosting service. This effort is the result of a collaboration between New York Fed staff and folks from the QuantEcon project, whose aim is to coordinate development of high performance open-source code for quantitative economic modeling.
Working Paper
The U.S. Shale Oil Boom, the Oil Export Ban, and the Economy: A General Equilibrium Analysis
This paper examines the effects of the U.S. shale oil boom in a two-country DSGE model where countries produce crude oil, refined oil products, and a non-oil good. The model incorporates different types of crude oil that are imperfect substitutes for each other as inputs into the refining sector. The model is calibrated to match oil market and macroeconomic data for the U.S. and the rest of the world (ROW). We investigate the implications of a significant increase in U.S. light crude oil production similar to the shale oil boom. Consistent with the data, our model predicts that light oil ...
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 ...
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 ...
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 ...
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.)
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 ...
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 ...