IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Processus de détection et évaluation de la fraude sociale

Listed author(s):
  • Nadia Joubert
Registered author(s):

    This article presents an econometric model of social fraud contributions which takes into account the process of monitoring and detection. The introduction of these two processes in the model allows to correct two important biases and so propose an unbiased fraud estimation. The first bias is inherent to data from “selective” controls of contributors assumed to be more likely fraudulent. The second is related to the possible failure in detection of the entire fraud during inspections. The estimates are based on individual data of small and medium enterprises of the Lyon metropolitan area, drawn from the confidential database of the social security administration. Our results confirm that the selection bias leads to over-estimate fraud, while the detection bias tends to underestimate fraud. According to our results, in the absence of correction of these two biases, fraud would be over-estimated of approximately 13%. Classification JEL : C34, D81, H26, J22.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: free

    File URL:
    Download Restriction: free

    Article provided by Presses de Sciences-Po in its journal Revue économique.

    Volume (Year): 60 (2009)
    Issue (Month): 5 ()
    Pages: 1235-1256

    in new window

    Handle: RePEc:cai:recosp:reco_605_1235
    Contact details of provider: Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:cai:recosp:reco_605_1235. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jean-Baptiste de Vathaire)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.