The Relationship between Economic Growth and Money Laundering – a Linear Regression Model
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ID: 23351
2009
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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.
| Reference Key |
stancu2009thetheoretical
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|---|---|
| Authors | Stancu, Ion;Rece, Daniel; |
| Journal | theoretical and applied economics |
| Year | 2009 |
| DOI |
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| URL | |
| Keywords | Keywords not found |
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