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.
Ruchi Avtar, Rajashri Chakrabarti, Maxim Pinkovskiy, and Giorgio Topa
This post is the first in a two-part series that seeks to understand whether consumer spending patterns during the COVID-19 pandemic evolved differentially across counties by race and income. As the pandemic hit and social distancing restrictions were put into place in March 2020, consumer spending plummeted. Subsequently, as social distancing restrictions began to be relaxed later in spring 2020, consumer spending started to rebound. We find that higher-income counties had a considerably steeper decline and a shallower recovery than low-income counties did. The differences by race were also sizeable as the pandemic struck but became considerably more muted after summer of 2020. The decline and the recovery until the end of summer were sharper for majority-minority (MM) than majority nonminority (MNM) counties, while both sets of counties showed similar growth in spending after that. The second post in this series highlights the goods and services that were most adversely affected (or “constrained”) by the pandemic. Then, differentiating households by income, that post explores which households were more exposed to these pandemic-constrained expenditure categories.
Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
Total household debt rose by $85 billion in the first quarter of 2021, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. Since the start of the pandemic, household debt balances have increased in every quarter but one—the second quarter of 2020, when lockdowns were in full effect. The Quarterly Report and this analysis are based on the New York Fed’s Consumer Credit Panel, which is based on Equifax credit data.
Women’s labor force participation grew precipitously in the latter half of the 20th century, but by around the year 2000, that progress had stalled. In fact, the labor force participation rate for prime-age women (those aged 25 to 54) fell four percentage points between 2000 and 2015, breaking a decades-long trend. However, as the labor market gained traction in the aftermath of the Great Recession, more women were drawn into the labor force. In less than five years, between 2015 and early 2020, women’s labor force participation had recovered nearly all of the ground lost over the prior fifteen years. Then the pandemic hit, erasing these gains. In recent months, as the economy has begun to heal, women’s labor force participation has increased again, but there is much ground to be made up, especially for Black and Hispanic women. A strong labor market with rising wages, as was the case in the years leading up to the pandemic, will be instrumental in bringing more women back into the labor force.
David Dam, Sebastian Heise, Davide Melcangi, and Will Schirmer
The services sector was hit hard during the COVID-19 pandemic. Small businesses were particularly affected, and many of them were forced to close. We examine the state of these firms using micro data from Homebase (HB), a scheduling and time tracking tool that is used by around 100,000 businesses, mostly small firms, in the leisure and hospitality and retail industries. The data reveal that 35 percent of businesses that were active prior to the pandemic are still closed and that most have been inactive for twenty weeks or longer. We estimate that each additional week of being closed reduces the probability that a business reopens by 2 percentage points. Moreover, an additional week of business closure lowers the share of workers that are rehired at reopening. Our estimates imply that only about 4 percent of the workers that are still laid off from the currently closed businesses will eventually be rehired.
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.
Household saving has soared in the United States and other high-income countries during the COVID-19 pandemic, despite widespread declines in wages and other private income streams. This post highlights the role of fiscal policy in driving the saving boom, through stepped-up social benefits and other income support measures. Indeed, in the United States, Japan, and Canada, government assistance has pushed household income above its pre-pandemic trajectory. We argue that the larger scale of government assistance in these countries helps explain why saving in these countries has risen more strongly than in the euro area. Going forward, how freely households spend out of their newly accumulated savings will be a key factor determining the strength of economic recoveries.
Efforts in the spring of 2020 to contain the spread of COVID-19 resulted in a sharp contraction in U.S. economic growth and an unprecedented, rapid rise in unemployment. While the first wave of the pandemic slowed the spring housing market, home sales rebounded sharply over the rest of the year, with strong gains in house prices. Given the rising house prices and continuing high unemployment, concerns arose that COVID-19 may have negatively affected first-time homebuyers. Using a new and more accurate measure of first-time homebuyers, we find that these buyers have not been adversely affected by the pandemic. At the same time, gains from lower mortgage rates have gone to existing homeowners and not to households purchasing their first home.
Olivier Armantier, Leo Goldman, Gizem KoÅar, and Wilbert van der Klaauw
In October, we reported on how households used their first economic impact payments, which they started to receive in mid-April 2020 as part of the CARES Act, and how they expected to use a second stimulus payment. In this post, we exploit new survey data to examine how households used the second round of stimulus checks, abd we investigate how they plan to use the third round.
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.
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.
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