IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v2n21987p63-74.html
   My bibliography  Save this article

Consumer Profiles and Acceptance of ARM Features: An Application of Logit Regression

Author

Abstract

In recent years, mortgage lenders have encouraged borrowers to choose adjustable rate mortgages (ARMs), and regulators have allowed lenders wide latitude in determining mortgage features. Through analysis of survey data, this paper examines borrower characteristics and attitudes related to the choice between fixed and adjustable rate mortgages, providing information lenders may use to increase homebuyers' willingness to accept ARMs. Results indicate that, while some ARM features are unattractive to almost all potential borrowers, response to other features is affected by age and income expectations. Thus, there is support for maintaining a variety of mortgage features to appeal to different categories of borrowers.

Suggested Citation

  • Mona J. Gardner & Han Bin Kang & Dixie L. Mills, 1987. "Consumer Profiles and Acceptance of ARM Features: An Application of Logit Regression," Journal of Real Estate Research, American Real Estate Society, vol. 2(2), pages 63-74.
    • Handle: RePEc:jre:issued:v:2:n:2:1987:p:63-74
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol02n02/v02p063.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Webb, Bruce G, 1982. "Borrower Risk under Alternative Mortgage Instruments," Journal of Finance, American Finance Association, vol. 37(1), pages 169-183, March.
    2. Donald J. Smith, 1987. "The Borrower's Choice between Fixed and Adjustable Rate Loan Contracts," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 15(2), pages 110-116, June.
    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. Dror Parnes, 2023. "Typical States and Their Risks for Mortgage Loans," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 395-415, June.
    2. Kroot, Jan & Giouvris, Evangelos, 2016. "Dutch mortgages: Impact of the crisis on probability of default," Finance Research Letters, Elsevier, vol. 18(C), pages 205-217.
    3. John M. Harris Jr., 1983. "Alternative Mortgage Instruments: Comparisons And A Proposal," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(2), pages 153-162, June.
    4. Brahima Coulibaly & Geng Li, 2009. "Choice of Mortgage Contracts: Evidence from the Survey of Consumer Finances," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(4), pages 659-673, December.
    5. Bai, Yiyi & Lu, Liping, 2020. "Households rejecting loan offers from banks," Journal of Banking & Finance, Elsevier, vol. 119(C).
    6. Brewer, Elijah III & Jackson, William III & Mondschean, Thomas S., 1996. "Risk, regulation, and S & L diversification into nontraditional assets," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 723-744, May.
    7. Xudong An & Yongheng Deng & Eric Rosenblatt & Vincent Yao, 2012. "Model Stability and the Subprime Mortgage Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 545-568, October.
    8. Ahn, Kwangwon & Forsyth, Joetta & Jang, Hanwool & Kim, Dongshin, 2022. "Fixed rate mortgages: The cost of interest rate risk aversion," Finance Research Letters, Elsevier, vol. 44(C).
    9. Philippe Bélanger, 2012. "Assessment of fixed rate mortgage implied insurance cost: Method and ex-post Swiss market analysis," ERES eres2012_372, European Real Estate Society (ERES).
    10. Kerry D. Vandell, 1984. "On the Assessment of Default Risk in Commercial Mortgage Lending," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(3), pages 270-296, September.
    11. Thomas M. Springer & Neil G. Waller, 1993. "Lender Forbearance: Evidence from Mortgage Delinquency Patterns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(1), pages 27-46, March.
    12. Rodrigo Alfaro & Natalia Gallardo & Roberto Stein, 2010. "The Determinants of Household Debt Defa," Working Papers Central Bank of Chile 574, Central Bank of Chile.
    13. Paul M. Taube & Don N. MacDonald, 1989. "A Note on Residential Mortgage Selection: Borrower Decisions and Inflation Expectations," Journal of Real Estate Research, American Real Estate Society, vol. 4(1), pages 73-79.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:jre:issued:v:2:n:2:1987:p:63-74. 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: JRER Graduate Assistant/Webmaster (email available below). General contact details of provider: http://www.aresnet.org/ .

    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.