IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v27y1981i1p108-112.html
   My bibliography  Save this article

Note---On the Cyert-Davidson-Thompson Doubtful Accounts Model

Author

Listed:
  • Jos A. M. van Kuelen

    (Erasmus University, Rotterdam)

  • Jaap Spronk

    (Erasmus University, Rotterdam)

  • A. Wayne Corcoran

    (Baruch College and University of Massachusetts)

Abstract

The results of the classical Cyert, Davidson, and Thompson (CDT) model for estimating the allowance for doubtful accounts could be made more valuable by correcting one flaw. The CDT model rests on the total balance method of aging dollars and, as presented, its answers cannot wisely be applied to estimate real dollar amounts. Notably, the steady state distributions derived by the model tend to underestimate actually paid dollar amounts.

Suggested Citation

  • Jos A. M. van Kuelen & Jaap Spronk & A. Wayne Corcoran, 1981. "Note---On the Cyert-Davidson-Thompson Doubtful Accounts Model," Management Science, INFORMS, vol. 27(1), pages 108-112, January.
    • Handle: RePEc:inm:ormnsc:v:27:y:1981:i:1:p:108-112
    DOI: 10.1287/mnsc.27.1.108
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.27.1.108
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.27.1.108?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. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    2. Thomas, Lyn C., 2000. "A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers," International Journal of Forecasting, Elsevier, vol. 16(2), pages 149-172.
    3. Arno Botha & Conrad Beyers & Pieter de Villiers, 2020. "The loss optimisation of loan recovery decision times using forecast cash flows," Papers 2010.05601, arXiv.org.
    4. Dariusz Wędzki, 2007. "Trade credit portfolio selection – a markovian approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(2), pages 105-119.
    5. Tangsucheeva, Rattachut & Prabhu, Vittaldas, 2014. "Stochastic financial analytics for cash flow forecasting," International Journal of Production Economics, Elsevier, vol. 158(C), pages 65-76.

    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:inm:ormnsc:v:27:y:1981:i:1:p:108-112. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.