On August 24, 2022, the White House released a plan to cancel federal student loans for most borrowers. In April, we wrote about the costs and who most benefits from a few hypothetical loan forgiveness proposals using our Consumer Credit Panel, based on Equifax credit report data. In this post, we update our framework to consider the White House plan now that parameters are known, with estimates for the total amount of forgiven loans and the distribution of who holds federal student loans before and after the proposed debt jubilee.
The first post of this series found that small businesses owned by people of color are particularly vulnerable to natural disasters. In this post, we focus on the aftermath of disasters, and examine disparities in the ability of firms to reopen their businesses and access disaster relief. Our results indicate that Black-owned firms are more likely to remain closed for longer periods and face greater difficulties in obtaining the immediate relief needed to cope with a natural disaster.
Recent research has linked climate change and socioeconomic inequality (see here, here, and here). But what are the effects of climate change on small businesses, particularly those owned by people of color, which tend to be more resource-constrained and less resilient? In a series of two posts, we use the Federal Reserve’s Small Business Credit Survey (SBCS) to document small businesses’ experiences with natural disasters and how these experiences differ based on the race and ethnicity of business owners. This first post shows that small firms owned by people of color sustain losses from natural disasters at a disproportionately higher rate than other small businesses, and that these losses make up a larger portion of their total revenues. In the second post, we explore the ability of small firms to reopen and to obtain disaster relief funding in the aftermath of climate events.
In our previous post, we discussed how the labor market recovery—the “maximum employment” half of the Federal Reserve System’s dual mandate—featured not only a return of overall employment rates to pre-pandemic levels, but also a narrowing of racial and ethnic gaps in employment rates. In this post, we take up the second half of the dual mandate—price stability—and discuss heterogeneity in inflation rates faced by different demographic groups during the rise in inflation in
2021-22. We find that, in contrast to inequalities in employment rates, disparities in inflation rates have widened during the recent inflationary episode, with Black and Hispanic Americans experiencing more inflation.
The National Flood Insurance Program (NFIP) was designed to reduce household and lender flood-risk exposure and “encourage lending.” In this post, which is based on our related study, we show that in certain situations the program actually limits access to credit, particularly for low-income borrowers—an unintended consequence of this well-intentioned program.
Monetary policy can have a meaningful impact on inequality, as recent theoretical and empirical studies suggest. In light of this, how should policy be conducted? And how does inequality affect the transmission of monetary policy? These are the topics covered in the second part of the recent symposium on “Heterogeneity in Macroeconomics: Implications for Policy,” hosted by the new Applied Macroeconomics and Econometrics Center (AMEC) of the New York Fed on November 12.
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.
New York Fed researchers tackled a wide array of topics on Liberty Street Economics (LSE) over the past year, with the myriad effects of the pandemic—on supply chains, the banking system, and inequality, for example—remaining a major area of focus. Judging by the list below, LSE readers were particularly interested in understanding what comes next: the most-viewed posts of the year analyze households’ use of stimulus payments, the implications of lockdown-period savings, the risk of a new housing bubble, the compression of the breakeven inflation curve, and the potential roles that central banks could play in the digital currency sphere. As the year draws to a close, take a look back at the top five posts of 2021.
This post concludes a three-part series exploring the gender, racial, and educational disparities of debt outcomes of college students. In the previous two posts, we examined how debt holding and delinquency behaviors vary among students of different race and gender, breaking up our analyses by level of degree pursued by the student. We found that Black and Hispanic students were less likely than white students to take on credit card debt, auto loans, and mortgage debt, but experienced higher rates of delinquency in each of these debt areas by the age of 30. In contrast, Black students were more likely to take out student debt and both Black and Hispanic students experienced higher rates of student debt delinquency. We found that Asian students broadly followed reverse patterns from Black and Hispanic students by age 30. They were more likely than white students to acquire mortgages and less likely to hold student debt, but their delinquency patterns were in general similar to those of white students. Women were less likely to hold an auto loan or mortgage and more likely to hold student debt by age 30, and in most cases their delinquency outcomes were indistinguishable from males. In this post, we seek to understand mechanisms behind these racial and gender disparities and examine the role of educational attainment in explaining these patterns.
This post is the second in a three-part series exploring racial, gender, and educational differences in household debt outcomes. In the first post, we examined how the propensity to take out household debt and loan amounts varied among students by race, gender, and education level, finding notable differences across all of these dimensions. Were these disparities in debt behavior by gender, race, and education level associated with differences in financial stress, as captured by delinquencies? This post focuses on this question.