From: The effect of anti-money laundering policies: an empirical network analysis
Dependent variable | ||||
---|---|---|---|---|
Density | Assortativity measures | |||
Degree | Crime type | Nationality | ||
Laundry | −0.005 | 0.274∗∗∗ | −0.294∗ | 0.079 |
(0.055) | (0.063) | (0.176) | (0.076) | |
No Laundry | 0.035 | 0.254∗∗∗ | 0.179∗∗∗ | |
(0.036) | (0.042) | (0.053) | ||
After AML4 | −0.049∗∗∗ | 0.089∗∗∗ | 0.049 | 0.035∗∗∗ |
(0.009) | (0.010) | (0.032) | (0.010) | |
Laundry: After AML4 | −0.076∗∗∗ | −0.056∗ | 0.194 | 0.010 |
(0.025) | (0.029) | (0.188) | (0.027) | |
No Laundry: After AML4 | −0.154∗∗∗ | 0.026 | −0.016 | |
(0.015) | (0.018) | (0.018) | ||
Constant | 0.474∗∗∗ | −0.735∗∗∗ | −0.201∗∗∗ | −0.300∗∗∗ |
(0.016) | (0.019) | (0.052) | (0.024) | |
Observations | 2411 | 2411 | 210 | 1955 |
\(R^{2}\) | 0.165 | 0.189 | 0.059 | 0.037 |
Adjusted \(R^{2}\) | 0.163 | 0.187 | 0.045 | 0.034 |
F Statistic | 94.876∗∗∗ | 109.422∗∗∗ | 4.229∗∗∗ | 14.326∗∗∗ |
(df = 5; 2405) | (df = 5; 2405) | (df = 3; 206) | (df = 5; 1949) |