IDEAS home Printed from https://ideas.repec.org/a/kap/iaecre/v27y2021i3d10.1007_s11294-021-09831-6.html
   My bibliography  Save this article

Reverse Mortgage Lending Disparities and the Economically Vulnerable

Author

Listed:
  • Debby Lindsey-Taliefero

    (Howard University)

  • Lynne Kelly

    (Howard University)

Abstract

A fair lending analysis seeks to determine whether a lender’s underwriting, pricing, and marketing decisions are free from a prohibited basis effect. That is, free from a significant effect based on the protected categories identified in the federal Equal Credit Opportunity Act (ECOA) and the Fair Housing Act (FH Act). This study examined the underwriting decisions of reverse mortgages to determine whether race/ethnicity, gender, or age were significant factors in those decisions. The analysis used loan-level data from the expanded 2019 Home Mortgage Disclosure Act (HMDA). A logistic regression model was used to estimate the denial/approval decisions. The results showed statistically significant lending disparities by race/ethnicity, gender, and age. Black and Hispanic denial odds for reverse mortgages were 107% and 48% higher, respectively, than for non-Hispanic white applicants. Denial odds for women were 12% lower than for men. Denial odds for applicants aged 74 years and older were 16% lower than for those aged 62 to 73 years old. Other statistically significant model predictors included loan purpose, non-amortizing features, closed-end loans, fixed-rate interest, indirect application channel (wholesale), income, loan amount, home equity, and interaction terms. The analysis identified serious deficiencies in the HMDA data that impact the ability to investigate fair lending disparities in reverse mortgages. This concern evolves from recent legislative exemptions for certain lenders reporting on critical data fields. The study illuminated reverse mortgage lending disparities by race/ethnicity, suggesting economic harm to black and Hispanic applicants. To more effectively monitor these disparities, the HMDA law should be amended to remove all data exemptions.

Suggested Citation

  • Debby Lindsey-Taliefero & Lynne Kelly, 2021. "Reverse Mortgage Lending Disparities and the Economically Vulnerable," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(3), pages 159-169, August.
  • Handle: RePEc:kap:iaecre:v:27:y:2021:i:3:d:10.1007_s11294-021-09831-6
    DOI: 10.1007/s11294-021-09831-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11294-021-09831-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11294-021-09831-6?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
    ---><---

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

    References listed on IDEAS

    as
    1. Michael Ferguson & Stephen Peters, 1997. "Cultural Affinity and Lending Discrimination: The Impact of Underwriting Errors and Credit Risk Distribution on Applicant Denial Rates," Journal of Financial Services Research, Springer;Western Finance Association, vol. 11(1), pages 153-168, February.
    2. Wheeler, Christopher H. & Olson, Luke M., 2015. "Racial differences in mortgage denials over the housing cycle: Evidence from U.S. metropolitan areas," Journal of Housing Economics, Elsevier, vol. 30(C), pages 33-49.
    3. Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996. "Mortgage Lending in Boston: Interpreting HMDA Data," American Economic Review, American Economic Association, vol. 86(1), pages 25-53, March.
    4. Hunter, William C & Walker, Mary Beth, 1996. "The Cultural Affinity Hypothesis and Mortgage Lending Decisions," The Journal of Real Estate Finance and Economics, Springer, vol. 13(1), pages 57-70, July.
    5. Justin P. Steil & Len Albright & Jacob S. Rugh & Douglas S. Massey, 2018. "The social structure of mortgage discrimination," Housing Studies, Taylor & Francis Journals, vol. 33(5), pages 759-776, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song Han, 2011. "Creditor Learning and Discrimination in Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(1), pages 1-27, October.
    2. Agier, Isabelle & Szafarz, Ariane, 2013. "Microfinance and Gender: Is There a Glass Ceiling on Loan Size?," World Development, Elsevier, vol. 42(C), pages 165-181.
    3. Stanley D. Longhofer & Stephen R. Peters, 1998. "Self-selection and discrimination in credit markets," Working Papers (Old Series) 9809, Federal Reserve Bank of Cleveland.
    4. 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.).
    5. Song Han, 2004. "Discrimination in Lending: Theory and Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 29(1), pages 5-46, July.
    6. Manthos D. Delis & Panagiotis Papadopoulos, 2019. "Mortgage Lending Discrimination Across the U.S.: New Methodology and New Evidence," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(3), pages 341-368, December.
    7. Paul S. Calem & Stanley D. Longhofer, 2000. "Anatomy of a fair-lending exam: the uses and limitations of statistics," Working Papers (Old Series) 0003R, Federal Reserve Bank of Cleveland.
    8. Chan, Sewin & Haughwout, Andrew & Tracy, Joseph, 2015. "How Mortgage Finance Affects the Urban Landscape," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 987-1045, Elsevier.
    9. Brent C Smith & Kenneth N. Daniels, 2018. "Unintended Consequences of Risk Based Pricing: Racial Differences in Mortgage Costs," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 323-343, December.
    10. Judith Robinson, 2002. "Race, Gender, and Familial Status: Discrimination in One US Mortgage Lending Market," Feminist Economics, Taylor & Francis Journals, vol. 8(2), pages 63-85.
    11. Dawkins, Mark C., 2002. "Simultaneity bias in mortgage lending: A test of simultaneous equations models on bank-specific data," Journal of Banking & Finance, Elsevier, vol. 26(8), pages 1593-1613, August.
    12. Diaz-Serrano, Luis & Raya, Josep M., 2011. "Is there Discriminatory Mortgage Pricing against Immigrants in the Spanish Lending Market?," IZA Discussion Papers 5578, Institute of Labor Economics (IZA).
    13. 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.
    14. Labie, Marc & Méon, Pierre-Guillaume & Mersland, Roy & Szafarz, Ariane, 2015. "Discrimination by microcredit officers: Theory and evidence on disability in Uganda," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 44-55.
    15. Xudong An & Sadok El Ghoul & Omrane Guedhami & Ross Levine & Raluca Roman, 2023. "Social Capital and Mortgages," Working Papers 23-23, Federal Reserve Bank of Philadelphia.
    16. Raphael Bostic, 2003. "A Test of Cultural Affinity in Home Mortgage Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 23(2), pages 89-112, April.
    17. Gary Dymski & Jesus Hernandez & Lisa Mohanty, 2013. "Race, Gender, Power, and the US Subprime Mortgage and Foreclosure Crisis: A Meso Analysis," Feminist Economics, Taylor & Francis Journals, vol. 19(3), pages 124-151, July.
    18. Paul S. Calem & Stanley D. Longhofer, 2000. "Anatomy of a fair-lending exam: the uses and limitations of statistics," Finance and Economics Discussion Series 2000-15, Board of Governors of the Federal Reserve System (U.S.).
    19. Raphael W. Bostic, "undated". "The Role of Race in Mortgage Lending: Revisiting the Boston Fed Study," Finance and Economics Discussion Series 1997-02, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    20. Lin, Emily Y., 2001. "Information, Neighborhood Characteristics, and Home Mortgage Lending," Journal of Urban Economics, Elsevier, vol. 49(2), pages 337-355, March.

    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:kap:iaecre:v:27:y:2021:i:3:d:10.1007_s11294-021-09831-6. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.