IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfn/2018-08-13-1.html
   My bibliography  Save this paper

Are Income and Credit Scores Highly Correlated?

Author

Listed:
  • Rachael Beer
  • Felicia Ionescu
  • Geng Li

Abstract

To the best of our knowledge, statistical analysis on the relationship between income and credit scores using proper data remains scant. Using a unique proprietary data set, this note attempts to fill the gap in our understanding of this relationship.

Suggested Citation

  • Rachael Beer & Felicia Ionescu & Geng Li, 2018. "Are Income and Credit Scores Highly Correlated?," FEDS Notes 2018-08-13-1, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfn:2018-08-13-1
    DOI: 10.17016/2380-7172.2235
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/notes/feds-notes/are-income-and-credit-scores-highly-correlated-20180813.htm
    Download Restriction: no

    File URL: https://libkey.io/10.17016/2380-7172.2235?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huh, Yesol & Kim, You Suk, 2023. "Cheapest-to-deliver pricing, optimal MBS securitization, and welfare implications," Journal of Financial Economics, Elsevier, vol. 150(1), pages 68-93.
    2. Dodini, Samuel & Larrimore, Jeff & Tranfaglia, Anna, 2024. "Financial repercussions of SNAP work requirements," Journal of Public Economics, Elsevier, vol. 229(C).
    3. Wenhua Di & Yichen Su, 2021. "Conspicuous Consumption: Vehicle Purchases by Non-Prime Consumers," Working Papers 2107, Federal Reserve Bank of Dallas.
    4. Presbitero, Andrea & Agarwal, Sumit & Silva, Andre F. & Wix, Carlo, 2022. "Who Pays For Your Rewards? Redistribution in the Credit Card Market," CEPR Discussion Papers 17733, C.E.P.R. Discussion Papers.
    5. Sarah Miller & Cindy K. Soo, 2018. "Do Neighborhoods Affect Credit Market Decisions of Low-Income Borrowers? Evidence from the Moving to Opportunity Experiment," NBER Working Papers 25023, National Bureau of Economic Research, Inc.

    More about this item

    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:fedgfn:2018-08-13-1. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.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.