“Buy now, pay later” (BNPL) has become an increasingly popular form of payment among Americans in recent years. While BNPL provides shoppers with the flexibility to pay for goods and services over time, usually with zero interest, the Consumer Financial Protection Bureau (CFPB) has identified several areas of potential consumer harm associated with its growing use, including inconsistent consumer protections, and the risk of excessive debt accumulation and over-extension. BNPL proponents have argued that the service enables improved credit access and greater financial inclusion, with approval being quick and relatively easy. More research is needed to assess the overall risks and benefits of BNPL for consumers. As a first step, we draw on new survey data to examine the background and circumstances of consumers who receive and take up BNPL offers. We find both the availability and use of BNPL to be fairly widespread but see disproportionate take-up among consumers with unmet credit needs, limited credit access, and greater financial fragility. While BNPL expands financial inclusion, especially to those with low credit scores, there is a risk that these payment plans contribute to excessive debt accumulation and over-extension.
Households frequently use stimulus checks to pay down existing debt. In this post, we discuss the empirical evidence on this marginal propensity to repay debt (MPRD), and we present new findings using the Survey of Consumer Expectations. We find that households with low net wealth-to-income ratios were more prone to use transfers from the CARES Act of March 2020 to pay down debt. We then show that standard models of consumption-saving behavior can be made consistent with these empirical findings if borrowers’ interest rates rise with debt. Our model suggests that fiscal policy may face a trade-off between increasing aggregate consumption today and assisting those with the largest debt balances.
Total household debt increased substantially during the second year of the COVID-19 pandemic, with a $1.02 trillion increase in aggregate debt balances, according to the Quarterly Report on Household Debt and Credit for the fourth quarter of 2021 from the New York Fed’s Center for Microeconomic Data. The yearly increase was the largest seen since 2007 in nominal terms and was boosted by particularly robust growth in mortgage balances, which grew by nearly $900 billion through 2021. Credit card balances, which have followed an unusual path during the pandemic, saw a large seasonal increase in the fourth quarter but remain well below pre-pandemic levels. And student loan balances increased only modestly through 2021 due to lower enrollment and also due to administrative forbearance on federal student loans—the smallest annual increase we’ve seen since 2004. Outstanding auto loan balances grew in 2021 by $84 billion. The $734 billion in newly opened auto loans through the year was the largest volume we’ve seen in our data.
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.
Efforts in the spring of 2020 to contain the spread of COVID-19 resulted in a sharp contraction in U.S. economic growth and an unprecedented, rapid rise in unemployment. While the first wave of the pandemic slowed the spring housing market, home sales rebounded sharply over the rest of the year, with strong gains in house prices. Given the rising house prices and continuing high unemployment, concerns arose that COVID-19 may have negatively affected first-time homebuyers. Using a new and more accurate measure of first-time homebuyers, we find that these buyers have not been adversely affected by the pandemic. At the same time, gains from lower mortgage rates have gone to existing homeowners and not to households purchasing their first home.
In October, we reported on how households used their first economic impact payments, which they started to receive in mid-April 2020 as part of the CARES Act, and how they expected to use a second stimulus payment. In this post, we exploit new survey data to examine how households used the second round of stimulus checks, abd we investigate how they plan to use the third round.
Housing represents the largest asset owned by most households and is a major means of wealth accumulation, particularly for the middle class. Yet there is limited understanding of how households view housing as an investment relative to financial assets, in part because of their differences beyond the usual risk and return trade-off. Housing offers households an accessible source of leverage and a commitment device for saving through an amortization schedule. For an owner-occupied residence, it also provides stability and hedges for rising housing costs. On the other hand, housing is much less liquid than financial assets and it also requires more time to manage. In this post, we use data from our just released SCE Housing Survey to answer several questions about how households view this choice: Do households view housing as a good investment choice in comparison to financial assets, such as stocks? Are there cross-sectional differences in preferences for housing as an investment? What are the factors households consider when making an investment choice between housing and financial assets?
How will the U.S. economy emerge from the ongoing COVID-19 pandemic? Will it struggle to return to prior levels of employment and activity, or will it come roaring back as soon as vaccinations are widespread and Americans feel comfortable travelling and eating out? Part of the answer to these questions hinges on what will happen to the large amount of “excess savings” that U.S. households have accumulated since last March. According to most estimates, these savings are around $1.6 trillion and counting. Some economists have expressed the concern that, if a considerable fraction of these accumulated funds is spent as soon as the economy re-opens, the ensuing rush of demand might be destabilizing. This post argues that these savings are not that excessive, when considered against the backdrop of the unprecedented government interventions adopted over the past year in support of households and that they are unlikely to generate a surge in demand post-pandemic.
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.
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.