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94 posts on "Inequality"
August 19, 2020

Debt Relief and the CARES Act: Which Borrowers Face the Most Financial Strain?

In part I of our analysis, we studied the expected debt relief from the CARES Act on mortgagors and student debt borrowers. We now turn our attention to the 63 percent of American borrowers who do not have a mortgage or student loan. These borrowers will not directly benefit from the loan forbearance provisions of the CARES Act, although they may be able to receive some types of leniency that many lenders have voluntarily provided. We ask who these borrowers are, by age, geography, race and income, and how does their financial health compare with other borrowers.

August 18, 2020

Debt Relief and the CARES Act: Which Borrowers Benefit the Most?

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.

August 17, 2020

Are Financially Distressed Areas More Affected by COVID‑19?

Building upon our earlier Liberty Street Economics post, we continue to analyze the heterogeneity of COVID-19 incidence. We previously found that majority-minority areas, low-income areas, and areas with higher population density were more affected by COVID-19. The objective of this post is to understand any differences in COVID-19 incidence by areas of financial vulnerability. Are areas that are more financially distressed affected by COVID-19 to a greater extent than other areas? If so, this would not only further adversely affect the financial well-being of the individuals in these areas, but also the local economy. This post is the first in a three part-heterogeneity series looking at heterogeneity in the credit market as it pertains to COVID-19 incidence and CARES Act debt relief.

August 13, 2020

The Disproportionate Effects of COVID‑19 on Households with Children

A growing body of evidence (here, here, and here) points to large negative economic and health impacts of the COVID-19 pandemic on low-income, Black, and Hispanic Americans. Beyond the consequences of school cancellations and lost social interactions, there exists considerable concern about the long-lasting effects of economic hardship on children. In this post, we assess the extent of the underlying economic and financial strain faced by households with children living at home, using newly collected data from the monthly Survey of Consumer Expectations (SCE).

July 8, 2020

Medicare and Financial Health across the United States

Consumer financial strain varies enormously across the United States. One pernicious source of financial strain is debt in collections—debt that is more than 120 days past due and that has been sold to a collections agency. In Massachusetts, the average person has less than $100 in collections debt, while in Texas, the average person has more than $300. In this post, we discuss our recent staff report that exploits the fact that virtually all Americans are universally covered by Medicare at 65 to show that health insurance not only improves financial health on average, but also is a major explanation for the heterogeneity in financial strain across the country. We find that Medicare affects different parts of the United States differently and plays a particularly important role in improving financial health in the least advantaged areas.

Posted at 8:00 am in Household Finance, Inequality | Permalink

Do College Tuition Subsidies Boost Spending and Reduce Debt? Impacts by Income and Race

In an October post, we showed the effect of college tuition subsidies in the form of merit-based financial aid on educational and student debt outcomes, documenting a large decline in student debt for those eligible for merit aid. Additionally, we reported striking differences in these outcomes by demographics, as proxied by neighborhood race and income. In this follow-up post, we examine whether and how this effect passes through to other debt and consumption outcomes, namely those related to autos, homes, and credit cards. We find that access to merit aid leads to an immediate but temporary increase in eligible individuals’ consumption in these categories. The increase is followed by a decline in consumption and a reduction in total debt of these types in the longer term. Importantly, there are marked differences in these consumption and debt patterns across groups, as evident when we introduce proxies for demographic group using the income and racial composition of the students’ home neighborhoods of origin.

Measuring Racial Disparities in Higher Education and Student Debt Outcomes

Across the United States, the cost of all types of higher education has been rising faster than overall inflation for more than two decades. Despite rising costs, aggregate undergraduate enrollment rose steadily between 2000 and 2010 before leveling off and dipping slightly to its current level. Rising college costs have steadily increased dependence on student debt for college financing, with many students and parents turning to federal and private loans to pay for higher education. An earlier post in this series reported that borrowers in majority Black areas have higher student loan balances and rates of default than those in both majority white and majority Hispanic areas. In this post, we study how differences in college attendance rates and in the types of colleges attended generate heterogeneity in loan experiences. Specifically, using nationwide data, we analyze heterogeneities in college-going and heterogeneities in student debt and default experiences by college type across individuals living in majority Black, majority Hispanic, and majority white zip codes.

Who Has Been Evicted and Why?

More than two million American households are at risk of eviction every year. Evictions have been found to cause prolonged homelessness, worsened health conditions, and lack of credit access. During the COVID-19 outbreak, governments at all levels implemented eviction moratoriums to keep renters in their homes. As these moratoriums and enhanced income supports for unemployed workers come to an end, the possibility of a wave of evictions in the second half of the year is drawing increased attention. Despite the importance of evictions and related policies, very few economic studies have been done on this topic. With the exception of the Milwaukee Area Renters Study, evictions are rarely measured in economic surveys. To fill this gap, we conducted a novel national survey on evictions within the Housing Module of the Survey of Consumer Expectations (SCE) in 2019 and 2020. This post describes our findings.

Posted at 7:15 am in Credit, Housing, Inequality | Permalink

Inequality in U.S. Homeownership Rates by Race and Ethnicity

Homeownership has historically been an important means for Americans to accumulate wealth—in fact, at more than $15 trillion, housing equity accounts for 16 percent of total U.S. household wealth. Consequently, the U.S. homeownership cycle has triggered large swings in Americans’ net worth over the past twenty-five years. However, the nature of those swings has varied significantly by race and ethnicity, with different demographic groups tracing distinct trajectories through the housing boom, the foreclosure crisis, and the subsequent recovery. Here, we look into the dynamics underlying these divergences and explore some potential explanations.

July 7, 2020

Introduction to Heterogeneity Series III: Credit Market Outcomes

Following up series on heterogeneity and inequality broadly and in labor market outcomes specifically, we turn our focus to further documenting heterogeneity in credit market outcomes, looking at disparities in home ownership rates, varying exposure to evictions, differing gains from tuition support and Medicare programs, and more.

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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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This ongoing Liberty Street Economics series analyzes disparities in economic and policy outcomes by race, gender, age, region, income, and other factors.

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