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

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Author Info
Ion Stancu (The Bucharest Academy of Economic Studies)
Daniel Rece (The Bucharest Academy of Economic Studies)

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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.

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Publisher Info
Article provided by Asociatia Generala a Economistilor din Romania - AGER in its journal Theoretical and Applied Economics.

Volume (Year): 09(538) (2009)
Issue (Month): 09(538) (September)
Pages: 3-8
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Handle: RePEc:agr:journl:v:09(538):y:2009:i:09(538):p:3-8

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Web page: http://www.asociatiaeconomistilor.ro/
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Related research
Keywords: money laundering; economic growth; GDP; money laundering estimates; microeconomic approach.;

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This page was last updated on 2009-11-25.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.