Every Dollar Counts: The Top 5 Liberty Street Economics Posts of 2024
High prices and rising debt put pressure on household budgets this year, so it’s little wonder that the most-read Liberty Street Economics posts of 2024 dealt with issues of financial stress: rising delinquency rates on credit cards and auto loans, the surge in grocery prices, and the spread of “buy now, pay later” plans. Another top-five post echoed this theme in an international context: Could the U.S. dollar itself be under stress as central banks seemingly turn to other reserve currencies? Read on for details on the year’s most popular posts.
Income Growth Outpaces Household Borrowing
U.S. household debt balances grew by $147 billion (0.8 percent) over the third quarter, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. Balances on all loan products recorded moderate increases, led by mortgages (up $75 billion), credit cards (up $24 billion), and auto loans (up $18 billion). Meanwhile, delinquency rates have also risen over the past two years, returning to roughly pre-pandemic levels (and exceeding them in the case of credit cards and auto loans), though there are some signs of stabilization this quarter. Are rising aggregate debt burdens sustainable? Or is this expansion to be expected given increases in aggregate income and population size? In this post, we take a look at debt balances scaled by income, tracking the evolution of this ratio over the past twenty-five years.
Mortgage Lock‑In Spurs Recent HELOC Demand
Mortgage balances, the largest component of U.S. household debt, grew by only $77 billion (0.6 percent) in the second quarter of 2024, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. This modest increase reflects a substantial slowdown in mortgage origination; only $374 billion was originated during the second quarter, compared to an average of about $1 trillion per quarter between 2021 and 2022. Meanwhile, after nearly thirteen years of decline, balances on home equity lines of credit (HELOC) have begun to rebound, gaining 20 percent since bottoming out at the end of 2021. In this post, we consider the factors behind this upswing, finding that HELOCs have likely become an attractive alternative to cash-out refinancings amid higher interest rates.
Delinquency Is Increasingly in the Cards for Maxed‑Out Borrowers
This morning, the New York Fed’s Center for Microeconomic Data released the Quarterly Report on Household Debt and Credit for the first quarter of 2024. Household debt balances grew by $184 billion over the previous quarter, slightly less than the moderate growth seen in the fourth quarter of 2023. Housing debt balances grew by $206 billion. Auto loans saw a $9 billion increase, continuing their steady growth since the second quarter of 2020, while balances on other non-housing debts fell. Credit card balances fell by $14 billion, which is typical for the first quarter. However, an increasing number of borrowers are behind on credit card payments. In this post, we explore the relationship between credit card delinquency and changes in credit card “utilization rates.”
How Are They Now? A Checkup on Homeowners Who Experienced Foreclosure
The end of the Great Recession marked the beginning of the longest economic expansion in U.S. history. The Great Recession, with its dramatic housing bust, led to a wave of home foreclosures as overleveraged borrowers found themselves unable to meet their payment obligations. In early 2009, the New York Fed’s Research Group launched the Consumer Credit Panel (CCP), a foundational data set of the Center for Microeconomic Data, to monitor the financial health of Americans as the economy recovered. The CCP, which is based on anonymized credit report data from Equifax, gives us an opportunity to track individuals during the period leading to the foreclosure, observe when a flag is added to their credit report and then—years later—removed. Here, we examine the longer-term impact of a foreclosure on borrowers’ credit scores and borrowing experiences: do they return to borrowing, or shy away from credit use and homeownership after their earlier bad experience?
Mortgage Rate Lock‑In and Homeowners’ Moving Plans
The U.S. housing market has had a tumultuous few years. After falling to record lows during the pandemic, the average 30-year mortgage rate rapidly increased in 2022 and 2023 and now hovers near a two-decade high of 7.2 percent. For those that locked in a low mortgage rate prior to 2022, this steep increase has significantly increased the cost of moving, as taking out a mortgage at current rates would potentially increase their monthly housing payment by hundreds or thousands of dollars, even if the amount they borrowed remained unchanged. As shown by Ferreira et al. (2011), this lock-in effect has the potential to reduce geographic mobility and turnover in the housing market and has gained the attention of Federal Reserve leaders. In this post, we utilize special questions from the Federal Reserve Bank of New York’s 2023 and 2024 SCE Housing Surveys to estimate the extent to which mortgage rate lock-in is suppressing U.S. household’s moving plans.
The New York Fed Consumer Credit Panel: A Foundational CMD Data Set
As the Great Financial Crisis and associated recession were unfolding in 2009, researchers at the New York Fed joined colleagues at the Board of Governors and Philadelphia Fed to create a new kind of data set. Household liabilities, particularly mortgages, had gone from being a quiet little corner of the financial system to the center of the worst financial crisis and sharpest recession in decades. The new data set was designed to provide fresh insights into this part of the economy, especially the behavior of mortgage borrowers. In the fifteen years since that effort came to fruition, the New York Fed Consumer Credit Panel (CCP) has provided many valuable insights into household behavior and its implications for the macro economy and financial stability.
The CCP was one of the first data sets drawn from credit bureau data, one of the earliest features of the Center for Microeconomic Data (CMD), and the primary source material for some of the CMD’s most important contributions to policy and research. Here we review a few of the main household debt themes over the past fifteen years, and how our analyses contributed to their understanding.
Learning by Bouncing: Overdraft Experience and Salience
Overdraft credit, when banks and credit unions allow customers to spend more than their checking account holds, has many critics. One fundamental concern is whether overdrafts are salient—whether account holders know how often they overdraw and how much it costs them. To shed light on this question, we asked participants in the New York Fed’s Survey of Consumer Expectations about their experience with and knowledge of their banks’ overdraft programs. The large majority knew how often they overdrew their account and by how much. Their overdraft experience, we find, begets knowledge; of respondents who overdrew their account in the previous year, 84 percent knew the fee they were charged, roughly twice the share for other respondents. However, even experienced overdrafters were relatively unaware of other overdraft terms and practices, such as the maximum overdraft allowed or whether their financial institution processed larger transactions first.
How and Why Do Consumers Use “Buy Now, Pay Later”?
In a previous post, we highlighted that financially fragile households are disproportionately likely to use “buy now, pay later” (BNPL) payment plans. In this post, we shed further light on BNPL’s place in its users’ household finances, with a particular focus on how use varies by a household’s level of financial fragility. Our results reveal substantially different use patterns, as more-fragile households tend to use the service to make frequent, relatively small, purchases that they might have trouble affording otherwise. In contrast, financially stable households tend to not use BNPL as frequently and are more likely to emphasize that BNPL allows them to avoid paying interest on credit-finance purchases. We explore below what drives these differences and consider the implications for future BNPL use.