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.
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.
Germany emerged as a leading destination for immigration around 2011, as the country’s labor market improved while unemployment climbed elsewhere in the European Union. A second wave began in 2015, with refugees from the Middle East adding to already heavy inflows from Eastern Europe. The demographic consequences of the surge in immigration include a renewed rise in Germany’s population and the stabilization of the country’s median age. The macroeconomic consequences are hard to measure but look promising, since per capita income growth has held up and unemployment has declined. Data on labor-market outcomes specific to immigrants are similarly favorable through 2015, but reveal challenges in how well the economy is adjusting to the second immigration wave.
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.
Productivity is one of the key determinants of potential output—that is, the trend level of production consistent with stable inflation. A productivity growth slowdown has occurred in several advanced economies in the aftermath of the global financial crisis, raising concerns about long-term growth. In response, a variety of supply-side policy options have been proposed, such as reforms to increase labor and product market flexibility. In this blog post, we consider the role of demand-side policies in raising trend productivity growth.
Unemployment risk constitutes one of the most significant sources of uncertainty facing workers in the United States. A large body of work has carefully documented that job loss may have long-term effects on one’s career, depressing earnings by as much as 20 percent after fifteen to twenty years. Given the severity of a job loss for earnings, an important question is how much such an event affects one’s standard of living during a spell of unemployment. This blog post explores how unemployment and expectations of job loss interact to affect household spending.
The sensitivity of long-term interest rates to short-term interest rates is a central feature of the yield curve. This post, which draws on our Staff Report, shows that long- and short-term rates co-move to a surprising extent at high frequencies (over daily or monthly periods). However, since 2000, they co-move far less at lower frequencies (over six months or a year). We discuss potential explanations for this finding and its implications for the transmission of monetary policy.
Marco Del Negro, Domenico Giannone, Marc P. Giannoni, Andrea Tambalotti, Brandyn Bok, and Eric Qian
Long-term government bond yields are at their lowest levels of the past 150 years in advanced economies. In this blog post, we argue that this low-interest-rate environment reflects secular global forces that have lowered real interest rates by about two percentage points over the past forty years. The magnitude of this decline has been nearly the same in all advanced economies, since their real interest rates have converged over this period. The key factors behind this development are an increase in demand for safety and liquidity among investors and a slowdown in global economic growth.
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.
Patrick Adams, Domenico Giannone, Eric Qian, and Argia 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.
With the arrival of Bank President John Williams from the San Francisco Fed, we’re now running—and sharing the output of—models he helped develop to obtain estimates of the natural rate of interest, or r-star, for the United States and other advanced economies. In the models’ definition, r-star is the real interest rate that allows an economy to expand in line with its underlying potential while keeping inflation stable.
Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.
The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.
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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