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

Ion Stancu and Daniel Szekely-Rece

Theoretical and Applied Economics, 2009, vol. 09(538), issue 09(538), 3-8

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.

Keywords: money laundering; economic growth; GDP; money laundering estimates; microeconomic approach. (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:agr:journl:v:09(538):y:2009:i:09(538):p:3-8

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