Theoretical and Applied Economics
No. 9 / 2009 (538)
The Relationship between Economic Growth and Money Laundering – a Linear Regression Model
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.
Contents
The Relationship between Economic Growth and Money Laundering – a Linear Regression Model
Comparison of Macroeconomic Performance of Selected Asian Countries. An Econometric Analysis of China Economic Growth and Policy Implications
The Implementation of Systemic Risk Management and the Reinforcing of Macro-Prudential Supervision – Vital Elements in Avoiding the Future Occurrence of a Financial Crisis Similar to The Present One
The Civil Servants Career Development
Variable Costs Method. Application Variants Adapted to Romanian Accounting Plan
The Efficiency of Implementing SOPHRD in Romania – Evolutions and Perspectives