IDEAS home Printed from https://ideas.repec.org/p/ags/aaea07/9356.html
   My bibliography  Save this paper

Credit Scoring Models in Illinois by Farm Type: Hog, Dairy, Beef and Grain

Author

Listed:
  • Durguner, Seda
  • Katchova, Ani L.

Abstract

Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the importance of farm-type differences in the development of credit scoring models. Apart from the conclusion that regional credit scoring models specific to each farm type are needed, the following are identified as the most pertinent factors for explaining creditworthiness: previous year's working capital to gross farm return, the debt-to-asset ratio, and return on farm assets. Furthermore, beef farms have a larger marginal effect compared to grain farms on the probability of the farmer being highly creditworthy. Hog farms differ from grain farms in how the following financial characteristics affect farmer creditworthiness: solvency, profitability, and financial efficiency. These separate credit scoring models result in increased expected profit for the lender, better capital management, less bankruptcy, and less burden on the government and tax payers.

Suggested Citation

  • Durguner, Seda & Katchova, Ani L., 2007. "Credit Scoring Models in Illinois by Farm Type: Hog, Dairy, Beef and Grain," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9356, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea07:9356
    DOI: 10.22004/ag.econ.9356
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/9356/files/sp07du01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.9356?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
    ---><---

    Citations

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


    Cited by:

    1. Frederick Murdoch Quaye & Denis Nadolnyak & Valentina Hartarska, 2017. "Factors Affecting Farm Loan Delinquency in the Southeast," Research in Applied Economics, Macrothink Institute, vol. 9(4), pages 75-92, December.
    2. Yeager, Elizabeth A. & Banard, Freddie L., 2014. "Effectiveness of Increasing Liquidity as a Response to Increased Repayment Risk: A Case Study," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2014, pages 1-19.
    3. Alan Reichert & Raymond Posey, 2011. "Using Financial Ratios And Lender Relationship Theory To Assess Farm Creditworthiness," Accounting & Taxation, The Institute for Business and Finance Research, vol. 3(1), pages 45-56.
    4. Barnard, Freddie L. & Ellinger, Paul N. & Wilson, Christine A., 2010. "Measurement Issues in Assessing Farm Profitability through Cash Tax Returns," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2010, pages 1-11.
    5. Quaye, Frederick & Hartarska, Valentina & Nadolnyak, Denis, 2015. "Farmer Credit Delinquency in Southeastern US: Factors and Behavior Prediction," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196914, Southern Agricultural Economics Association.

    More about this item

    Keywords

    Agricultural Finance;

    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:ags:aaea07:9356. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.