7 posts on "race"
February 7, 2024
Racial and Ethnic Wealth Inequality in the Post‑Pandemic Era
Editor’s note: The DFA data upon which this post was based show a decline in the aggregate real wealth of Black households after 2019, as reported here. The authors are currently reviewing the data to determine whether a similar pattern exists for the typical Black household. (March 1, 3:47 pm)
Wealth is unevenly distributed across racial and ethnic groups in the United States. In this first post in a two-part series on wealth inequality, we use the Distributional Financial Accounts (DFA) to document these disparities between Black, Hispanic, and white households from the first quarter of 2019 to the third quarter of 2023 for wealth and a variety of asset and liability categories. We find that these disparities have been exacerbated since the pandemic, likely due to rapid growth in the financial assets more often held by white individuals.
Posted at 10:00 am in Demographics, Financial Markets, Inequality, Pandemic | Permalink | Comments (2)
October 16, 2020
How Do Consumers Believe the Pandemic Will Affect the Economy and Their Households?
In this post we analyze consumer beliefs about the duration of the economic impact of the pandemic and present new evidence on their expected spending, income, debt delinquency, and employment outcomes, conditional on different scenarios for the future path of the pandemic. We find that between June and August respondents to the New York Fed Survey of Consumer Expectations (SCE) have grown less optimistic about the pandemic’s economic consequences ending in the near future and also about the likelihood of feeling comfortable in crowded places within the next three months. Although labor market expectations of respondents differ considerably across fairly extreme scenarios for the evolution of the COVID pandemic, the difference in other economic outcomes across scenarios appear relatively moderate on average. There is, however, substantial heterogeneity in these economic outcomes and some vulnerable groups (for example, lower income, non-white) appear considerably more exposed to the evolution of the pandemic.
Posted at 11:00 am in Credit, Expectations, Household Finance, Housing, Pandemic, Unemployment | Permalink
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.
Posted at 7:00 am in Equitable Growth, Household Finance, Housing, Inequality | Permalink | Comments (2)
July 8, 2020
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.
Posted at 7:30 am in Education, Equitable Growth, Household Finance, Inequality, Student Loans | 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.
June 15, 2020
Distribution of COVID‑19 Incidence by Geography, Race, and Income
In this post, we study whether (and how) the spread of COVID-19 across the United States varied by geography, race, income, and population density. Were urban areas more affected by COVID-19 than rural areas? Did population density matter in the spread? Were certain races and income groups affected more by the spread of this deadly coronavirus? Our analysis uncovers stark demographic trends among places affected most severely by the pandemic thus far.
November 13, 2019
Just Released: Racial Disparities in Student Loan Outcomes
A $20 billion rise in student loan balances in the third quarter of this year contributed to a $92 billion increase in total household debt, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. This post explores racial disparities in student loan outcomes using information about the borrowers’ locations, grouping zip codes based upon which racial group constitutes the majority of an area’s residents.
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