IDEAS home Printed from
   My bibliography  Save this article

The Relationship between Economic Growth and Money Laundering – a Linear Regression Model


  • Ion Stancu

    (The Bucharest Academy of Economic Studies)

  • Daniel Rece

    (The Bucharest Academy of Economic Studies)


This study provides an overview of the relationship between economic growth and money laundering modeled by a least squares function. The report analyzes statistically data collected from USA, Russia, Romania and other eleven European countries, rendering a linear regression model. The study illustrates that 23.7% of the total variance in the regressand (level of money laundering) is “explained” by the linear regression model. In our opinion, this model will provide critical auxiliary judgment and decision support for anti-money laundering service systems.

Suggested Citation

  • Ion Stancu & Daniel Rece, 2009. "The Relationship between Economic Growth and Money Laundering – a Linear Regression Model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 9(09(538)), pages 3-8, September.
  • Handle: RePEc:agr:journl:v:09(538):y:2009:i:09(538):p:3-8

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no


    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:agr:journl:v:09(538):y:2009:i:09(538):p:3-8. 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: (Marin Dinu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.