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Keywords:DSGE 

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 ...
Liberty Street Economics , Paper 20170508

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 ...
Staff Reports , Paper 661

Working Paper
On the Structural Interpretation of the Smets-Wouters “Risk Premium” Shock

This article shows that the "risk premium" shock in Smets and Wouters (2007) can be interpreted as a structural shock to the demand for safe and liquid assets such as short-term US Treasury securities. Several implications of this interpretation are discussed.
Working Paper Series , Paper WP-2014-8

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 ...
Liberty Street Economics , Paper 20150325

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.
Liberty Street Economics , Paper 20151203

Discussion Paper
The Macro Effects of the Recent Swing in Financial Conditions

Credit conditions tightened considerably in the second half of 2015 and U.S. growth slowed. We estimate the extent to which tighter credit conditions last year were responsible for the slowdown using the FRBNY DSGE model. We find that growth would have slowed substantially more had the Federal Reserve not delayed liftoff in the federal funds rate.
Liberty Street Economics , Paper 20160525

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 ...
Working Papers , Paper 1708

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 ...
Working Papers (Old Series) , Paper 1611

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 ...
Globalization Institute Working Papers , Paper 386

Working Paper
The U.S. Shale Oil Boom, the Oil Export Ban, and the Economy: A General Equilibrium Analysis Nida

This paper examines the e ects of the U.S. shale oil boom in a two-country DSGE model where countries produce crude oil, re ned oil products, and a non-oil good. The model in- {{p}} corporates di erent types of crude oil that are imperfect substitutes for each other as inputs into the re ning sector. The model is calibrated to match oil market and macroeconomic data for the U.S. and the rest of the world (ROW). {{p}} We investigate the implications of a signicant {{p}} increase in U.S. light crude oil production similar to the shale oil boom. Consistent with the data, our model predicts that ...
Research Working Paper , Paper RWP 17-10

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