IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v17y1982i02p227-240_01.html
   My bibliography  Save this article

Alternative Multivariate Tests in Limited Dependent Variable Models: An Empirical Assessment

Author

Listed:
  • Ingram, F. Jerry
  • Frazier, Emma L.

Abstract

Recently, a debate has developed in both the theoretical and applied statistical literature regarding the appropriateness of various techniques in analytical models with limited (particularly, 0-1) dependent variables. In financial research, limited dependent variable models usually arise in one of two ways:1. classification (or discrimination)--assigning observations to discrete, a priori determined groups, or2. regression--relating a qualitative dependent variable to one or more independent variables (which may or may not be qualitative).

Suggested Citation

  • Ingram, F. Jerry & Frazier, Emma L., 1982. "Alternative Multivariate Tests in Limited Dependent Variable Models: An Empirical Assessment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(2), pages 227-240, June.
  • Handle: RePEc:cup:jfinqa:v:17:y:1982:i:02:p:227-240_01
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000010267/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rais Ahmad Itoo & Selvarasu Appasamy Mutharasu & José António Filipe, 2013. "Effect of Loan Value and Collateral on Value of Mortgage Default," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 3(4), pages 635-635.
    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. Gajdosikova Dominika & Valaskova Katarina, 2023. "Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia," Economics and Culture, Sciendo, vol. 20(1), pages 30-42, June.
    4. Rodrigo Alfaro & Natalia Gallardo & Roberto Stein, 2010. "The Determinants of Household Debt Defa," Working Papers Central Bank of Chile 574, Central Bank of Chile.
    5. Javier Gutiérrez Rueda & Dairo Estrada & Laura Capera, 2011. "Un análisis del endeudamiento de los hogares," Temas de Estabilidad Financiera 061, Banco de la Republica de Colombia.

    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:cup:jfinqa:v:17:y:1982:i:02:p:227-240_01. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    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.