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Marco Del Negro, Keshav Dogra, and Laura Pilossoph
How does accounting for households’ heterogeneity—and in particular inequality in income and wealth—change our approach to macroeconomics? What are the effects of monetary and fiscal policy on inequality, and what did we learn in this regard from the COVID-19 pandemic? What are the implications of inequality for the transmission of monetary policy, and its ability to stabilize the economy? These are some of the questions that were debated at a recent symposium on “Heterogeneity in Macroeconomics: Implications for Policy” organized by the new Applied Macroeconomics and Econometrics Center (AMEC) of the New York Fed on November 12.
Jaison R. Abel, Jason Bram, Richard Deitz, and Jonathan Hastings
The pandemic struck the New York-Northern New Jersey region early and hard, and the economy is still struggling to recover nearly two years later. Indeed, employment fell by 20 percent in New York City as the pandemic took hold, a significantly sharper decline than for the nation as a whole, and the rest of the region wasn’t far behind, creating a much larger hole to dig out of than other parts of the country. While the region saw significant growth as the economy began to heal, growth has slowed noticeably, and job shortfalls—that is, the amount by which employment remains below pre-pandemic levels—are some of the largest in the nation. Among major metro areas, job shortfalls in New York City, Buffalo, and Syracuse rank among the five worst in the country. Thus, despite much progress, the region is struggling to recover from the pandemic recession. By contrast, employment has rebounded above pre-pandemic levels in Puerto Rico, reaching a five-year high.
On September 30 and October 1, 2021, the New York Fed held a virtual conference on the implications of the Fed’s actions in response to the COVID-19 pandemic. New York Fed President John Williams gave the opening and concluding remarks.
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.
Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
Federal government actions in response to the pandemic have taken many forms. One set of policies is intended to reduce the risk that the pandemic will result in a housing market crash and a wave of foreclosures like the one that accompanied the Great Financial Crisis. An important and novel tool employed as part of these policies is mortgage forbearance, which provides borrowers the option to pause or reduce debt service payments during periods of hardship, without marking the loan delinquent on the borrower’s credit report. Widespread take-up of forbearance over the past year has significantly changed the housing finance system in the United States, in different ways for different borrowers. This post is the first of four focusing attention on the effects of mortgage forbearance and the outlook for the mortgage market. Here we use data from the New York Fed’s Consumer Credit Panel (CCP) to examine the effects of these changes on households during the pandemic.
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.
David Dam, Meghana Gaur, Fatih Karahan, Laura Pilossoph, and Will Schirmer
The ongoing COVID-19 pandemic and the various measures put in place to contain it caused a rapid deterioration in labor market conditions for many workers and plunged the nation into recession. The unemployment rate increased dramatically during the COVID recession, rising from 3.5 percent in February to 14.8 percent in April, accompanied by an almost three percentage point decline in labor force participation. While the subsequent labor market recovery in the aggregate has exceeded even some of the most optimistic scenarios put forth soon after this dramatic rise, this recovery has been markedly weaker for the Black population. In this post, we document several striking differences in labor market outcomes by race and use Current Population Survey (CPS) data to better understand them.
Rajashri Chakrabarti, Andrew Haughwout, Donghoon Lee, William Nober, Joelle Scally, and Wilbert van der Klaauw
COVID-19 and associated social distancing measures have had major labor market ramifications, with massive job losses and furloughs. Millions of people have filed jobless claims since mid-March—6.9 million in the week of March 28 alone. These developments will surely lead to financial hardship for millions of Americans, especially those who hold outstanding debts while facing diminishing or disappearing wages. The CARES Act, passed by Congress on April 2, 2020, provided $2.2 trillion in disaster relief to combat the economic impacts of COVID-19. Among other measures, it included mortgage and student debt relief measures to alleviate the cash flow problems of borrowers. In this post, we examine who could benefit most (and by how much) from various debt relief provisions under the CARES Act.
At the end of March, we launched the Weekly Economic Index (WEI) as a tool to monitor changes in real activity during the pandemic. The rapid deterioration in economic conditions made it important to assess developments as soon as possible, rather than waiting for monthly and quarterly data to be released. In this post, we describe how the WEI has measured the effects of COVID-19. So far in 2020, the WEI has synthesized daily and weekly data to measure GDP growth remarkably well. We document this performance, and we offer some guidance on evaluating the WEI’s forecasting abilities based on 2020 data and interpreting WEI updates and revisions.
Uyanga Byambaa, Beverly Hirtle, Anna Kovner, and Matthew Plosser
New research finds that there is a cyclical nature to the benefits of bank supervisory attention: in normal times, the benefits are smaller, but during downturns the more closely supervised banks exhibit better loan performance and lower earnings volatility.
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.
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