Liberty Street Economics
Return to Liberty Street Economics Home Page

11 posts on "student debt"
April 17, 2024

The New York Fed Consumer Credit Panel: A Foundational CMD Data Set

Video of a man going through a stack of bills. 10 years measuring consumer behavior & expectations text zooms in over the video.

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.   

Posted at 7:00 am in Household Finance, Student Loans | Permalink
December 22, 2022

Supply Chains, Student Debt, and Stablecoins—The Top 5 Liberty Street Economics Posts of 2022

“Kitchen table” issues were on the minds of our readers in 2022, though what was labeled as such was perhaps a bit broader than in the past. Supply chains—now firmly placed on the radar of Main Street—were the subject of the year’s top post by number of page views and accounted for three of the top five (we’ll consider them as one for this roundup). Student debt forgiveness and inflation were also in the news, drawing readers to our preview of various possibilities for the (subsequently announced) federal student loan forgiveness program and a quarterly update of a New York Fed economic forecast model. Posts on more technical topics were popular as well, including an update on the Federal Reserve’s balance sheet “runoff” and a discussion of stablecoins. Underscoring their broad appeal, the year’s top two posts rank among the top five in the history of Liberty Street, which dates back to 2011. Read on to see which posts resonated most with readers. 

August 9, 2022

Three Key Facts from the Center for Microeconomic Data’s 2022 Student Loan Update

Photo: students in cap and gown graduation ceremony with dollars signs superimposed on the image.

Today, researchers from the Center for Microeconomic Data released the 2022 Student Loan Update, which contains statistics summarizing who holds student loans along with characteristics of these balances. To compute these statistics, we use the New York Fed Consumer Credit Panel (CCP), a nationally representative 5 percent sample of all U.S. adults with an Equifax credit report. For this update, we focus on individuals with a student loan on their credit report. The update is linked here and shared in the student debt section of the Center for Microeconomic Data’s website. In this post, we highlight three facts from the current student loan landscape.

March 22, 2022

Student Loan Repayment during the Pandemic Forbearance

The onset of the COVID-19 pandemic brought substantial financial uncertainty for many Americans. In response, executive and legislative actions in March and April 2020 provided unprecedented debt relief by temporarily lowering interest rates on Direct federal student loans to 0 percent and automatically placing these loans into administrative forbearance. As a result, nearly 37 million borrowers have not been required to make payments on their student loans since March 2020, resulting in an estimated $195 billion worth of waived payments through April 2022. However, 10 million borrowers with private loans or Family Federal Education Loan (FFEL) loans owned by commercial banks were not granted the same relief and continued to make payments during the pandemic. Data show that Direct federal borrowers slowed their paydown, with very few making voluntary payments on their loans. FFEL borrowers, who were not covered by the automatic forbearance, struggled with their debt payments during this time. The difficulties faced by these borrowers in managing their student loans and other debts suggest that Direct borrowers will face rising delinquencies once forbearance ends and payments resume.

November 17, 2021

Unequal Distribution of Delinquencies by Gender, Race, and Education

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.

Uneven Distribution of Household Debt by Gender, Race, and Education

Household debt has risen markedly since 2013 and amounts to more than $15 trillion dollars. While the aggregate volume of household debt has been well-documented, literature on the gender, racial and education distribution of debt is lacking, largely because of an absence of adequate data that combine debt, demographic, and education information. In a three-part series beginning with this post, we seek to bridge this gap. In this first post, we focus on differences in debt holding behavior across race and gender. Specifically, we explore gender and racial disparities in different types of household debt and delinquencies—for auto, mortgage, credit card, and student loans—while distinguishing between students pursuing associate’s (AA) and bachelor’s (BA) degrees. In the second post in this series, we investigate gender and racial disparities in delinquencies across these various kinds of consumer debt. We close with a third post where we try to understand some of the mechanisms behind differences in debt and delinquencies across gender and race.

March 29, 2021

Who Pays What First? Debt Prioritization during the COVID Pandemic

Since the depths of the Great Recession, household debt has increased from a low of $11 trillion in 2013 to more than $14 trillion in 2020 (see the New York Fed Household Debt and Credit Report). In this post, we examine how consumers’ repayment priorities have evolved over that time. Specifically, we seek to answer the following question: When consumers repay some but not all of their loans, which types do they choose to keep paying and which do they fall behind on?

Posted at 7:00 am in Credit, Household Finance | Permalink | Comments (1)
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.

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.

About the Blog

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.

Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.

The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.

Economic Research Tracker

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Economic Inequality

image of inequality icons for the Economic Inequality: A Research Series

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

Most Read this Year

Comment Guidelines

 

We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:

Please be brief: Comments are limited to 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post.

Please be respectful: We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will
not be posted.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.

Archives