Liberty Street Economics
Return to Liberty Street Economics Home Page

99 posts on "Inequality"
May 27, 2021

Who Benefited from PPP Loans by Fintech Lenders?

In the previous post, we discussed inequalities in access to credit from the Paycheck Protection Program (PPP), showing that, although fintech lenders had a small share of total PPP loan volumes, they provided important support for underserved borrowers. In this post, we ask whether smaller firms received the amount of PPP credit that they requested, and whether loans went to the hardest-hit areas and mitigated job losses. Our results indicate that fintech providers were a key channel in reaching minority-owned firms, the smallest of small businesses, and borrowers most affected by the coronavirus pandemic.

Posted at 10:47 am in Inequality, Pandemic | Permalink

Who Received PPP Loans by Fintech Lenders?

Small businesses not only account for 47 percent of U.S employment but also provide a pathway to success for minorities and women. During the coronavirus pandemic, these small businesses—especially those owned by minorities—were hard hit as consumers reduced spending disproportionately on services that require in-person physical interaction, such as hotels and restaurants. In response, the U.S. government launched the Paycheck Protection Program (PPP) to provide guaranteed and potentially forgivable small business loans. In this post, we examine financial technology (fintech) lenders participating in the PPP and find that, while disbursing only a small share of total loan amounts, they provide important support to minority business owners, who have in the past been underserved by the traditional banking industry.

Posted at 10:46 am in Inequality, Pandemic | Permalink
May 19, 2021

What Happens during Mortgage Forbearance?

As we discussed in our previous post, millions of mortgage borrowers have entered forbearance since the beginning of the pandemic, and over 2 million remain in a program as of March 2021. In this post, we use our Consumer Credit Panel (CCP) data to examine borrower behavior while in forbearance. The credit bureau data are ideal for this purpose because they allow us to follow borrowers over time, and to connect developments on the mortgage with those on other credit products. We find that forbearance results in reduced mortgage delinquencies and is associated with increased paydown of other debts, suggesting that these programs have significantly improved the financial positions of the borrowers who received them.

Posted at 11:46 am in Household Finance, Housing, Inequality | Permalink
May 13, 2021

Who’s Ready to Spend? Constrained Consumption across the Income Distribution

Spending on goods and services that were constrained during the pandemic is expected to grow at a fast pace as the economy reopens. In this post, we look at detailed spending data to track which consumption categories were the most constrained by the pandemic due to social distancing. We find that, in 2019, high-income households typically spent relatively more on these pandemic-constrained goods and services. Our findings suggest that these consumers may have strongly reduced consumption during the pandemic and will likely play a crucial role in unleashing pent-up demand when pandemic restrictions ease.

Racial and Income Gaps in Consumer Spending following COVID‑19

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.

February 9, 2021

Black and White Differences in the Labor Market Recovery from COVID‑19

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.

Understanding the Racial and Income Gap in Commuting for Work Following COVID‑19

The introduction of numerous social distancing policies across the United States, combined with voluntary pullbacks in activity as responses to the COVID-19 outbreak, resulted in differences emerging in the types of work that were done from home and those that were not. Workers at businesses more likely to require in-person work—for example, some, but not all, workers in healthcare, retail, agriculture and construction—continued to come in on a regular basis. In contrast, workers in many other businesses, such as IT and finance, were generally better able to switch to working from home rather than commuting daily to work. In this post, we aim to understand whether following the onset of the pandemic there was a wedge in the incidence of commuting for work across income and race. And how did this difference, if any, change as the economy slowly recovered? We take advantage of a unique data source, SafeGraph cell phone data, to identify workers who continued to commute to work in low income versus higher income and majority-minority (MM) versus other counties.

Some Workers Have Been Hit Much Harder than Others by the Pandemic

Abel and Deitz look at the outsized impact of the COVID-19 pandemic on some workers, particularly those who are in lower-wage jobs, without a college degree, female, minority, and younger.

January 12, 2021

Understanding the Racial and Income Gap in COVID‑19: Essential Workers

This is the fourth and final post in this series aimed at understanding the gap in COVID-19 intensity by race and by income. The previous three posts focused on the role of mediating variables—such as uninsurance rates, comorbidities, and health resource in the first post; public transportation, and home crowding in the second; and social distancing, pollution, and age composition in the third—in explaining the racial and income gap in the incidence of COVID-19. In this post, we now investigate the role of employment in essential services in explaining this gap.

Posted at 10:03 am in Inequality, Pandemic | Permalink

Understanding the Racial and Income Gap in COVID‑19: Social Distancing, Pollution, and Demographics

Chakrabarti, Pinkovskiy, and coauthors investigate the extent to which age, pollution, and social distancing factor in to the income and racial gaps in COVID-19 incidence.

Posted at 10:02 am in Inequality, Pandemic | Permalink
About the Blog

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.

Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.

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.

Economic Research Tracker

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Most Read this Year

Comment Guidelines

 

We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:

Please be brief: Comments are limited to 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post.

Please be respectful: We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will
not be posted.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.

Archives