IDEAS home Printed from https://ideas.repec.org/a/spr/metron/v81y2023i3d10.1007_s40300-023-00254-3.html
   My bibliography  Save this article

Imposing unsupervised constraints to the Benefit-of-the-Doubt (BoD) model

Author

Listed:
  • Milica Maricic

    (University of Belgrade)

  • Veljko Jeremic

    (University of Belgrade)

Abstract

Policymakers are in growing need of metrics which will assist them in ranking and assessing entities on different topics. Composite indicators, aggregated individual indicators, have become a valuable metric to do so. One of the approaches used in the process of their creation is the benefit-of-the-doubt (BoD) model. To overcome the observed issue of full freedom of the BoD model, herein we propose the application of a novel unsupervised approach to imposing constraints: the bootstrap I-distance; a data-driven statistical method used to obtain weight intervals. The proposed variant of the BoD model is named Bootstrap I-distance benefit-of-the-doubt (B-ID-BoD). To verify the B-ID-BoD model, we employed it on the ease of doing business index (EDBI) issued by the World Bank. The obtained results indicate that the model can be solved, that all the imposed constraints have been adhered to, and that the official EDBI weighting scheme does not need alteration. The proposed approach can initiate further research on data-driven approaches to constraining the BoD model and further applications of the bootstrap I-distance.

Suggested Citation

  • Milica Maricic & Veljko Jeremic, 2023. "Imposing unsupervised constraints to the Benefit-of-the-Doubt (BoD) model," METRON, Springer;Sapienza Università di Roma, vol. 81(3), pages 259-296, December.
    • Handle: RePEc:spr:metron:v:81:y:2023:i:3:d:10.1007_s40300-023-00254-3
    DOI: 10.1007/s40300-023-00254-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40300-023-00254-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40300-023-00254-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:metron:v:81:y:2023:i:3:d:10.1007_s40300-023-00254-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.