IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v31y1999i01p109-122_02.html
   My bibliography  Save this article

Application of Recursive Partitioning to Agricultural Credit Scoring

Author

Listed:
  • Novak, Michael P.
  • LaDue, Eddy

Abstract

Recursive Partitioning Algorithm (RPA) is introduced as a technique for credit scoring analysis, which allows direct incorporation of misclassification costs. This study corroborates nonagricultural credit studies, which indicate that RPA outperforms logistic regression based on within-sample observations. However, validation based on more appropriate out-of-sample observations indicates that logistic regression is superior under some conditions. Incorporation of misclassification costs can influence the creditworthiness decision.

Suggested Citation

  • Novak, Michael P. & LaDue, Eddy, 1999. "Application of Recursive Partitioning to Agricultural Credit Scoring," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(1), pages 109-122, April.
    • Handle: RePEc:cup:jagaec:v:31:y:1999:i:01:p:109-122_02
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0081305200028818/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. Natalia Nehrebecka, 2016. "Approach to the assessment of credit risk for non-financial corporations. Evidence from Poland," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    2. Sanjay J. Bhayani & Butalal Ajmera, 2011. "A Study on Performance Evaluation of Dinesh Mills Ltd," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 2(6), pages 114-123, September.
    3. Gloy, Brent A. & LaDue, Eddy L. & Gunderson, Michael A., 2004. "Credit Risk Migration Experienced By Agricultural Lenders," 2004 Annual meeting, August 1-4, Denver, CO 19944, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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:jagaec:v:31:y:1999:i:01:p:109-122_02. 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/aae .

    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.