The FRBNY DSGE Model Forecast—February 2017
This post presents the latest update of the economic forecasts generated by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model. We introduced this model in a series of blog posts in September 2014 and published forecasts twice a year thereafter. With this post, we move to a quarterly release schedule, and highlight how our forecasts have changed since November 2016.
Readers should keep in mind that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and the variables discussed here, see our DSGE Model Q & A.
The FRBNY DSGE Model Forecast—November 2016
This post presents the latest update of the economic forecasts generated by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model.
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.
The FRBNY DSGE Model Forecast—May 2016
The May 2016 forecast of the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model remains broadly in line with those of our two previous semiannual reports (see our May 2015 and December 2015 posts). In the past year, the headwinds that contributed to slower growth in the aftermath of the financial crisis finally began to abate. However, the widening of credit spreads associated with swings in financial markets in the second half of 2015 and the first few months of this year have had a negative impact on economic activity. Despite this setback, the model expects a rebound in growth in the second half of the year, so that the medium-term forecast remains, as in the December post, one of steady, gradual economic expansion. The model also continues to predict gradual progress in the inflation rate toward the Federal Open Market Committee’s (FOMC) long-run target of 2 percent.
Happy Fifth Birthday, LSE!
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When we launched our research blog five years ago this week, we didn’t expect to set any internet traffic records while writing about economics. Still, we saw that a blog would be a good way to build familiarity with our research and policy analysis, and to share the expertise of our staff when it’s relevant to issues in the public eye. As I said back at the birth, our goal was to deliver “lively, clear, and analytically sound” posts and, in that, I think we have succeeded.
From the Vault: The Path of Interest Rates
The FRBNY DSGE Model Meets Julia
Marco Del Negro, Marc Giannoni, Pearl Li, Erica Moszkowski, and Micah Smith 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 FRBNY DSGE Model Forecast—November 2015
This post presents an update of the economic forecasts implied by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model, which we first introduced in a series of blog posts in September 2014.
How Much Do Inflation Expectations Matter for Inflation Dynamics?
Inflation dynamics are often described by some form of the Phillips curve.
Why Are Interest Rates So Low?
Marco Del Negro, Marc Giannoni, Matthew Cocci, Sara Shahanaghi, and Micah Smith Second post in the series In a recent series of blog posts, the former Chairman of the Federal Reserve System, Ben Bernanke, has asked the question: “Why are interest rates so low?” (See part 1, part 2, and part 3.) He refers, of […]