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

Author

Listed:
  • Ion Stancu

    (The Bucharest Academy of Economic Studies)

  • Daniel Rece

    (The Bucharest Academy of Economic Studies)

Abstract

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
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    Cited by:

    1. Roberto Dell’Anno & Majid Maddah, 2023. "Money laundering, corruption and socioeconomic development in Iran: an analysis by structural equation modeling," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 70(3), pages 395-417, September.

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