Table 5 Results of random effects regressions on cluster representation
From: The effect of anti-money laundering policies: an empirical network analysis
Dependent variable | ||||
|---|---|---|---|---|
Crime based | Nationality based | |||
True diversity | Dis-proportionality | True diversity | Dis-proportionality | |
Laundry | 0.228∗∗∗ | −0.120∗∗∗ | 0.035 | 0.054∗∗ |
(0.060) | (0.030) | (0.034) | (0.026) | |
No Laundry | −0.032 | −0.011 | ||
(0.022) | (0.017) | |||
After AML4 | 0.037∗∗∗ | −0.018∗∗∗ | 0.038∗∗∗ | 0.002 |
(0.009) | (0.004) | (0.006) | (0.006) | |
Laundry: After AML4 | −0.027 | 0.016∗ | 0.045∗∗∗ | −0.028 |
(0.019) | (0.010) | (0.017) | (0.018) | |
No Laundry: After AML4 | 0.088∗∗∗ | 0.019∗ | ||
(0.010) | (0.011) | |||
Constant | 0.209∗∗∗ | 0.546∗∗∗ | 0.315∗∗∗ | 0.183∗∗∗ |
(0.031) | (0.015) | (0.010) | (0.008) | |
Observations | 610 | 610 | 2320 | 2411 |
\(R^{2}\) | 0.076 | 0.264 | 0.175 | 0.027 |
Adjusted \(R^{2}\) | 0.071 | 0.260 | 0.173 | 0.025 |
F Statistic | 16.534∗∗∗ | 72.473∗∗∗ | 98.281∗∗∗ | 13.037∗∗∗ |
(df = 3; 606) | (df = 3; 606) | (df = 5; 2314) | (df = 5; 2405) | |