Just Released: Historical Reconstruction of the New York Fed Staff Nowcast, 2002-15

Patrick Adams, Domenico Giannone, Eric Qian, and Argia Sbordone



The New York Fed Staff Nowcast has been running for over three years. Each Friday at 11:15 a.m., we publish our updated predictions for real GDP growth based on the data released each week. When the Bureau of Economic Analysis (BEA) releases the first estimate of GDP growth, we stop updating our nowcast and archive it. We maintain these archives as part of our Nowcasting Report on the New York Fed’s public website to allow users to study the features of the nowcast and its accuracy. Now, to better understand the model and its performance during different cyclical episodes, we are publishing extended historical archives of the nowcast. Doing so provides fourteen additional years of forecasts that can be used not only to evaluate our nowcast model, but also to explore daily U.S. economic history through the model’s lens.

The New York Fed DSGE Model Forecast—June 2019

Sushant Acharya, Michael Cai, Marco Del Negro, Ethan Matlin, and Reca Sarfati

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since January 2019. As usual, we wish to remind our readers 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 variables discussed here, see our DSGE model Q & A.

Who’s on First? Characteristics of First-Time Homebuyers

Donghoon Lee and Joseph Tracy

HOUSING SERIES: Post 2 of 5

In our previous post, we presented a new measure of first-time homebuyers. In this post, we use this improved measure to describe the characteristics of first-time buyers and how those characteristics change over time. Having an accurate assessment of first-time buyers is important given that the aim of many housing policies is to support the transition from renting to owning. A proper assessment of these housing policies requires an understanding of the impact of these policies on the share of first-time buyers and the characteristics of these buyers. Our third post will directly examine the sustainability of homeownership by first-time buyers.

Just Released: The New York Fed Staff Forecast—April 2019

David Lucca, Jonathan McCarthy, and Richard Peach

Today, the Federal Reserve Bank of New York is hosting the spring meeting of its Economic Advisory Panel (EAP). As has become the custom at this meeting, the New York Fed Research staff is presenting its forecast for U.S. growth, inflation, and the unemployment rate. 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 John Williams about economic conditions. In that same spirit, we are sharing a short summary of the staff forecast in this post; for more detail, see the New York Fed Staff Outlook Presentation from the EAP meeting on our website.

The New York Fed DSGE Model Forecast—January 2019

Michael Cai, Marco Del Negro, Ethan Matlin, and Reca Sarfati

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since October 2018. As usual, we wish to remind our readers 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 variables discussed here, see our DSGE model Q & A.

Monitoring Economic Conditions during a Government Shutdown

Patrick Adams, Domenico Giannone, Eric Qian, and Argia M. Sbordone



The recent partial shutdown of the federal government has disrupted publication schedules for many U.S. Census Bureau and Bureau of Economic Analysis (BEA) data releases. Most notably, the release of GDP for the fourth quarter of 2018—originally scheduled for January 30—has been postponed indefinitely. Even without the full slate of Census Bureau and BEA releases, forecasters have continued to make predictions for 2018:Q4 GDP growth; as of February 1, the New York Fed Staff Nowcast stands at 2.6 percent, the Atlanta Fed's GDPNow stands at 2.5 percent, and the Blue Chip Financial Forecasts estimate stands at 2.6 percent. How accurate are these predictions for 2018:Q4 relative to the BEA’s first estimate? Have the missing data jeopardized the accuracy of predictions for 2019:Q1? The New York Fed Staff Nowcast provides a lens through which to answer these questions, thanks to its entirely automated design and its ability to mimic judgmental forecasters’ processing of incoming data. Using real‑time historic data, we can assess the importance of missing releases by simulating similar dataflow disruptions for past quarters.

The New York Fed DSGE Model Forecast—October 2018

Michael Cai, Marco Del Negro, Ethan Matlin, Reca Sarfati, and Argia Sbordone

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since July 2018. As usual, we wish to remind our readers 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 variables discussed here, see our DSGE model Q & A.

Changing Risk-Return Profiles

Richard K. Crump, Domenico Giannone, and Sean Hundtofte



Are stock returns predictable? This question is a perennially popular subject of debate. In this post, we highlight some results from our recent working paper, where we investigate the matter. Rather than focusing on a single object like the forecasted mean or median, we look at the entire distribution of stock returns and find that the realized volatility of stock returns, especially financial sector stock returns, has strong predictive content for the future distribution of stock returns. This is a robust feature of the data since all of our results are obtained with real-time analyses using stock return data since the 1920s. Motivated by this result, we then evaluate whether the banking system appears healthier today, and if recent regulatory reforms have helped.

Opening the Toolbox: The Nowcasting Code on GitHub

Patrick Adams, Brandyn Bok, Daniele Caratelli, Domenico Giannone, Eric Qian, Argia M. Sbordone, Camilla Schneier, and Andrea Tambalotti



In April 2016, we unveiled—and began publishing weekly—the New York Fed Staff Nowcast, an estimate of GDP growth using an automated platform for tracking economic conditions in real time. Today we go a step further by publishing the MATLAB code for the nowcasting model, available here on GitHub, a public repository hosting service. We hope that sharing our code will make it easier for people interested in monitoring the macroeconomy to understand the details underlying the nowcast and to replicate our results.

The New York Fed DSGE Model Forecast–July 2018

Sushant Acharya, Michael Cai, Marco Del Negro, Abhi Gupta, and Pearl Li

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since March 2018. As usual, we wish to remind our readers 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 variables discussed here, see our DSGE model Q & A.