The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
Abhi Gupta, Pearl Li, Erica Moszkowski, Marco Del Negro, and Marc Giannoni
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 written in MATLAB and is posted here on Github, a public repository hosting service, also performed some of these functions, but not quite as fast.
Today, the Federal Reserve Bank of New York (FRBNY) is hosting the spring meeting of its Economic Advisory Panel (EAP). As has become the custom at this meeting, the FRBNY staff is presenting its forecast for U.S. real GDP growth, the unemployment rate, and inflation. Following the presentation, members of the EAP, which consists of leading economists in academia and the private sector, are asked to critique the staff forecast. Such feedback helps the staff evaluate the assumptions and reasoning underlying its forecast as well as the forecast’s key risks. The feedback is also an important part of the forecasting process because it informs the staff’s discussions with New York Fed President William Dudley about economic conditions. In that same spirit, we are sharing a summary of the staff forecast in this post. For more detail, see the FRBNY Staff Outlook Presentation from the EAP meeting on our website.
In May 2014, Liberty Street Economics bloggers shared a new approach for calculating the Treasury term premium as well as a link for downloading their estimates of it. It has been gratifying to see the “ACM” model (named for current and former New York Fed economists Tobias Adrian, Richard Crump, and Emanuel Moench) make eye-catching headlines, and become “increasingly canonical,” as one reporter described it.
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 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.
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.
Olivier Armantier, Giorgio Topa, Wilbert van der Klaauw, and Basit Zafar
The New York Fed’s Survey of Consumer Expectations (SCE) collects information on household heads’ economic expectations and behavior. In particular, the survey covers respondents’ views on how inflation, spending, credit access, and the housing and labor markets will evolve over time. The SCE yields important insights that inform our monetary policy decisions. This morning, President Dudley joined New York Fed economists to brief the press on the design of the SCE and the latest releases of survey results. President Dudley introduced the briefing by speaking about the benefits of measuring consumers’ expectations.
Bianca De Paoli, Thomas Klitgaard, and Harry Wheeler
Japan offers a preview of future U.S. demographic trends, having already seen a large increase in the population over 65. So, how has the Japanese economy dealt with this change? A look at the data shows that women of all ages have been pulled into the labor force and that more people are working longer. This transformation of the work force has not been enough to prevent a very tight labor market in a slowly growing economy, and it may help explain why inflation remains minimal. Namely, wages are not responding as much as they might to the tight labor market because women and older workers tend to have lower bargaining power than prime-age males.
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.
What can disagreement teach us about how private forecasters perceive the conduct of monetary policy? In a previous post, we showed that private forecasters disagree about both the short-term and the long-term evolution of key macroeconomic variables but that the shape of this disagreement differs across variables. In contrast to their views on other macroeconomic variables, private forecasters disagree substantially about the level of the federal funds rate that will prevail in the medium to long term but very little on the rate at shorter horizons. In this post, we explore the possible explanations for what drives forecasts of the federal funds rate, especially in the longer run.
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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