IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v50y1995i2p739-48.html
   My bibliography  Save this article

What Constitutes Evidence of Discrimination in Lending?

Author

Listed:
  • Ferguson, Michael F
  • Peters, Stephen R

Abstract

The authors analyze a simple model of bank lending in order to ascertain what can be inferred from relative denial and default rates about lending discrimination. They show that if minority applicants are of lower average creditworthiness than majority applicants, then, contrary to a popular argument, a uniform, nondiscriminatory credit policy cannot simultaneously produce higher denial rates for minority applicants and equal default rates for minority and majority applicants. Moreover, the authors show that equality of denial or default rates always implies discrimination. In particular, equal denial (default) rates imply discrimination against majority (minority) applicants. Copyright 1995 by American Finance Association.

Suggested Citation

  • Ferguson, Michael F & Peters, Stephen R, 1995. " What Constitutes Evidence of Discrimination in Lending?," Journal of Finance, American Finance Association, vol. 50(2), pages 739-748, June.
  • Handle: RePEc:bla:jfinan:v:50:y:1995:i:2:p:739-48
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28199506%2950%3A2%3C739%3AWCEODI%3E2.0.CO%3B2-T&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Song Han, 2001. "On the Economics of Discrimination in Credit Markets," Finance and Economics Discussion Series 2002-02, Board of Governors of the Federal Reserve System (U.S.).
    2. Demyanyk, Yuliya, 2008. "U.S. banking deregulation and self-employment: A differential impact on those in need," Journal of Economics and Business, Elsevier, vol. 60(1-2), pages 165-178.
    3. Brown, Christopher L. & Simpson, W. Gary, 2003. "The cost of racially equal approval rates in mortgage lending," International Review of Economics & Finance, Elsevier, vol. 12(4), pages 467-480.
    4. Block, Walter & Snow, Nicholas & Stringham, Edward, 2008. "Banks, insurance companies, and discrimination," MPRA Paper 26035, University Library of Munich, Germany.
    5. Richard Anderson & James VanderHoff, 1999. "Mortgage Default Rates and Borrower Race," Journal of Real Estate Research, American Real Estate Society, vol. 18(2), pages 279-290.
    6. Ethan Cohen-Cole, 2008. "Credit card redlining," Risk and Policy Analysis Unit Working Paper QAU08-1, Federal Reserve Bank of Boston.
    7. Robert F. Phillips & Anthony M.J. Yezer, 1996. "Self-Selection and Tests for Bias and Risk in Mortgage Lending: Can You Price the Mortgage If You Don't Know the Process?," Journal of Real Estate Research, American Real Estate Society, vol. 11(1), pages 87-102.
    8. Ho, Giang & Pennington-Cross, Anthony, 2006. "The impact of local predatory lending laws on the flow of subprime credit," Journal of Urban Economics, Elsevier, vol. 60(2), pages 210-228, September.
    9. Fred Phillips-Patrick & David Malmquist & Clifford Rossi, 1997. "The Economics of Low-Income Mortgage Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 11(1), pages 169-188, February.
    10. Geoffrey M. B. Tootell, 1996. "Can studies of application denials and mortgage defaults uncover taste-based discrimination?," Working Papers 96-10, Federal Reserve Bank of Boston.
    11. Supriya Garikipati & Susan Johnson & Isabelle Guérin & Ariane Szafarz, 2017. "Microfinance and Gender: Issues, Challenges and The Road Ahead," Journal of Development Studies, Taylor & Francis Journals, vol. 53(5), pages 641-648, May.
    12. Stanley D. Longhofer & Stephen R. Peters, 1998. "Beneath the rhetoric: clarifying the debate on mortgage lending discrimination," Economic Review, Federal Reserve Bank of Cleveland, issue Q IV, pages 2-13.
    13. Shaffer, Sherrill, 1998. "The Winner's Curse in Banking," Journal of Financial Intermediation, Elsevier, vol. 7(4), pages 359-392, October.
    14. Xudong An & Raphael Bostic, 2008. "GSE Activity, FHA Feedback, and Implications for the Efficacy of the Affordable Housing Goals," The Journal of Real Estate Finance and Economics, Springer, vol. 36(2), pages 207-231, February.
    15. Scott Smart & Joel Waldfogel, 1996. "A Citation-Based Test for Discrimination at Economics and Finance Journals," NBER Working Papers 5460, National Bureau of Economic Research, Inc.
    16. Ken Cyree & Keith Harvey & Michael Melton, 2004. "Bank Lending to Native American Applicants: An Investigation of Mortgage Flows and Government Guarantee Programs on Native American Lands," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(1), pages 29-54, August.
    17. Ken Cavalluzzo & Linda Cavalluzzo & John D. Wolken, 1999. "Competition, small business financing, and discrimination: evidence from a new survey," Finance and Economics Discussion Series 1999-25, Board of Governors of the Federal Reserve System (U.S.).
    18. George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
    19. Ambrose, Brent W. & Diop, Moussa, 2014. "Spillover effects of subprime mortgage originations: The effects of single-family mortgage credit expansion on the multifamily rental market," Journal of Urban Economics, Elsevier, vol. 81(C), pages 114-135.
    20. Giang Ho & Anthony Pennington-Cross, 2007. "The varying effects of predatory lending laws on high-cost mortgage applications," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 39-60.
    21. Cole, Rebel, 1999. "Availability of credit to small and minority-owned businesses: Evidence from the 1993 National Survey of Small Business Finances," MPRA Paper 4715, University Library of Munich, Germany.
    22. Park, Kevin A., 2016. "FHA loan performance and adverse selection in mortgage insurance," Journal of Housing Economics, Elsevier, vol. 34(C), pages 82-97.
    23. Ping Cheng & Zhenguo Lin & Yingchun Liu, 2015. "Racial Discrepancy in Mortgage Interest Rates," The Journal of Real Estate Finance and Economics, Springer, vol. 51(1), pages 101-120, July.

    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:bla:jfinan:v:50:y:1995:i:2:p:739-48. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/afaaaea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.