IDEAS home Printed from https://ideas.repec.org/p/fip/fednls/93365.html
   My bibliography  Save this paper

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

Author

Listed:

Abstract

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.

Suggested Citation

  • Ruchi Avtar & Rajashri Chakrabarti & Kasey Chatterji-Len, 2021. "Uneven Distribution of Household Debt by Gender, Race, and Education," Liberty Street Economics 20211117a, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednls:93365
    as

    Download full text from publisher

    File URL: https://libertystreeteconomics.newyorkfed.org/2021/11/uneven-distribution-of-household-debt-by-gender-race-and-education/
    File Function: Full text
    Download Restriction: no

    File URL: https://newyorkfed.org/medialibrary/media/research/blog/2021/2021_LSE_CUNY_Debt_Blogs_data
    File Function: Chart data
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    inequality; CUNY; mortgage; student debt; auto debt; credit card debt;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fednls:93365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.