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The return of U.S. real GDP to its pre-pandemic level in the second quarter of this year was driven by consumer spending on goods. Such spending was well above its pre-pandemic path, while spending on services was well below. Despite the surge in goods spending, domestic manufacturing has increased only modestly, leaving most of the increase in demand being filled by imports. While higher imports have been a drag on growth, the size of this drag has been moderated by the value created by the domestic transportation, wholesale, and retail sectors in selling these goods. Going forward, a rebalancing of consumer spending toward services could give a lift to growth, by shifting demand toward purchases with little import content.
Jaison R. Abel, Jason Bram, Richard Deitz, and Jessica Lu
As the economy continues to recover from the pandemic recession, many businesses are struggling to keep up with surging demand amid widespread supply shortages and delays. While a rare phenomenon before the pandemic, supply chain disruptions have become increasingly common, with transportation of goods becoming especially tricky due to myriad issues such as cloggedports and difficulty finding truck drivers. Indeed, such supply disruptions are expected to continue into next year. Our October regional business surveys asked firms to what extent, if any, they are being affected by supply problems and what measures they have taken in response. Difficulty obtaining supplies was nearly universal among survey respondents, affecting about 80 percent of service firms and 95 percent of manufacturers. A large share of businesses in the region have responded to the disruptions by increasing their selling prices and scaling back their operations.
While the shocks from COVID-19 were concentrated in a handful of contact-intensive industries, they had rippling effects throughout the economy, which culminated in a considerable decline in U.S. GDP. In this post, we estimate how much of the fall in U.S. GDP during the pandemic was driven by spillover effects from the productivity losses of contact-intensive industries.
Marco Del Negro, Keshav Dogra, Shlok Goyal, Alissa Johnson, and Aidan Gleich
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 June 2021.
Haoyang Liu, David Lucca, Dean Parker, and Gabriela Rays-Wahba
During the pandemic, national home values and housing activity soared as mortgage rates declined to historic lows. Under the canonical “user cost” house price model, home values are held to be very sensitive to interest rates, especially at low interest rate levels. A calibration of this model can account for the house price boom with the observed decline in interest rates. But empirically, we find that home values are nowhere near as sensitive to interest rates as the user cost model predicts. This lower sensitivity is also found in prior economic research. Thus, the historical experience suggests that lower interest rates can only account for a tiny fraction of the pandemic house price boom. Instead, we find more scope for lower interest rates to explain the rise in housing activity, both sales and construction.
William Chen, Marco Del Negro, Shlok Goyal, and Alissa Johnson
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 2021. 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.
During the COVID-19 pandemic, many industries adapted to new social distancing guidelines by adopting new technologies, providing protective equipment for their employees, and digitizing their methods of production. These changes in industries’ supply chains, together with monetary and fiscal stimulus, contributed to dampening the economic impact of COVID-19 over time. In this post, I discuss a new framework that analyzes how changes in supply chains can drive economic growth in the long run and mitigate recessions in the short run.
Florin Bilbiie, Gauti Eggertsson, Giorgio Primiceri, and Andrea Tambalotti
How will the U.S. economy emerge from the ongoing COVID-19 pandemic? Will it struggle to return to prior levels of employment and activity, or will it come roaring back as soon as vaccinations are widespread and Americans feel comfortable travelling and eating out? Part of the answer to these questions hinges on what will happen to the large amount of “excess savings” that U.S. households have accumulated since last March. According to most estimates, these savings are around $1.6 trillion and counting. Some economists have expressed the concern that, if a considerable fraction of these accumulated funds is spent as soon as the economy re-opens, the ensuing rush of demand might be destabilizing. This post argues that these savings are not that excessive, when considered against the backdrop of the unprecedented government interventions adopted over the past year in support of households and that they are unlikely to generate a surge in demand post-pandemic.
William Chen, Marco Del Negro, Shlok Goyal, Alissa Johnson, and Andrea Tambalotti
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. The model projects solid growth over the next two years, with core inflation slowly rising toward 2 percent. Uncertainty for both output and inflation forecasts remains large.
The coronavirus pandemic and the various measures to address it have led to unprecedented convulsions to the U.S. and global economies. In this post, I examine those extraordinary impacts through the lens of personal consumption expenditures on discretionary and nondiscretionary services, a framework I developed in a 2011 post (and subsequently employed in 2012, 2014, and 2017). In particular, I show that there were exceptional declines in both services categories during the spring; their recoveries, however, have displayed notably different patterns in recent months, with nondiscretionary services expenditures nearly back to their prior level and discretionary services expenditures seemingly stalled well below their pre-pandemic peak.
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