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Marco Del Negro, Marc Giannoni, Abhi Gupta, Pearl Li, and Erica Moszkowski
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 have since published forecasts twice a year. Here we describe our current forecast and highlight how it has changed since May 2016.
In recent months, there have been some high-profile assessments of how far the Federal Reserve has come in terms of communicating about monetary policy since its “secrets of the temple” days. While observers say the transition to greater transparency “still seems to be a work in progress,” they note the range of steps the Fed has taken over the years to shed light on its strategy, including issuing statements to announce and explain policy changes following Federal Open Market Committee (FOMC) meetings, post-meeting press conferences and minutes, FOMC-member speeches and testimony, and “forward guidance” in all its variants.
As Director of Research for the New York Fed for the past seven years, Jamie McAndrews has been responsible for the Bank’s financial and economic policy research, as well as the collection of data and statistics from financial institutions. On the eve of his retirement on June 30, Jamie shared his perspective on how the Research and Statistics Group has changed with Andrew Haughwout, a senior vice president in the Group.
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.
Stefano Eusepi, Erica Moszkowski, and Argia Sbordone
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.
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.
In recent speeches, the Federal Reserve’s Janet Yellen and Lael Brainerd explained how policymakers are likely to take a cautious approach to normalizing monetary policy given historically low estimates for the natural rate of interest and expectations that the rate will rise only gradually over time.
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 QuantEcon project, whose aim is to coordinate development of high performance open-source code for quantitative economic modeling.
Marco Del Negro, Marc Giannoni, Erica Moszkowski, Sara Shahanaghi, and Micah Smith
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. The model continues to predict a gradual recovery in economic activity, but one that will proceed at a slightly slower pace than was forecast in our April update. It also predicts a slow return of inflation toward the Federal Open Market Committee’s (FOMC) long-run target of 2 percent. This forecast remains surrounded by significant uncertainty. Please note that the DSGE model forecasts are not the official New York Fed staff forecasts, but only an input to the overall forecasting process at the Bank.
Inflation dynamics are often described by some form of the Phillips curve. Named after A. W. Phillips, the British economist whose study of U.K. wage and unemployment data laid the groundwork, the Phillips curve denotes an inverse relationship between inflation and some measure of economic slack. A much-discussed issue in the literature is how forward-looking this relationship is. In this post, we address this question using a flexible version of the New KeynesianPhillips curve (NKPC) to illustrate the key role that expectations play in inflation dynamics.
Liberty Street Economics features insight and analysis from economists working at the intersection of research and policy. The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Donald Morgan.
The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.
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