IDEAS home Printed from https://ideas.repec.org/p/bfr/banfra/807.html
   My bibliography  Save this paper

Statistical Modelization of Overindebtedness

Author

Listed:
  • Amandine Tran

Abstract

The procedure for overindebtedness was born in the late 1980s, in a context of strong expansion of consumer credit. In 2010, better supervision of business practices by the public authorities helped to limit the scale of consumer credit. Overindebtedness now concerns financially fragile populations with low levels of debt. The main goal of this paper is to set up an explanatory model of overindebtedness. A first model highlights the significant impact of the standard of living on being overindebted. However, disparities remain between family structures. The main limitation of this first model is the fact that it relies essentially on aggregated data. Therefore, a second model, which is focused on the population of overindebted households only and uses a rich database, allows accounting for different factors playing a role in the orientation towards personal recovery, which is the orientation that is offered to the most financially vulnerable overindebted households.

Suggested Citation

  • Amandine Tran, 2021. "Statistical Modelization of Overindebtedness," Working papers 807, Banque de France.
  • Handle: RePEc:bfr:banfra:807
    as

    Download full text from publisher

    File URL: https://publications.banque-france.fr/sites/default/files/medias/documents/wp-807.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    overindebtedness; standard of living; family structure; logit; Enquête des Revenus Fiscaux et Sociaux; personal recovery;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:bfr:banfra:807. 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: Michael brassart (email available below). General contact details of provider: https://edirc.repec.org/data/bdfgvfr.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.