From: The effect of anti-money laundering policies: an empirical network analysis
Dependent variable | ||||
---|---|---|---|---|
Node count | People count | Company count | Diameter | |
Laundry | 3.911 | 2.731∗∗ | 0.393 | 1.086∗∗∗ |
(2.547) | (1.107) | (2.025) | (0.270) | |
No Laundry | 2.081 | 2.473∗∗∗ | −0.215 | 1.051∗∗∗ |
(1.680) | (0.729) | (1.486) | (0.177) | |
After AML4 | 2.776∗∗∗ | 2.062∗∗∗ | 0.610∗∗ | 0.501∗∗∗ |
(0.357) | (0.214) | (0.272) | (0.051) | |
Laundry: After AML4 | 5.555∗∗∗ | 1.458∗∗ | 4.607∗∗∗ | −0.038 |
(1.044) | (0.614) | (0.781) | (0.149) | |
No Laundry: After AML4 | 4.087∗∗∗ | 2.742∗∗∗ | 1.914∗∗∗ | 0.270∗∗∗ |
(0.626) | (0.371) | (0.521) | (0.089) | |
Constant | 8.153∗∗∗ | 4.573∗∗∗ | 4.496∗∗∗ | 2.723∗∗∗ |
(0.746) | (0.335) | (0.617) | (0.080) | |
Observations | 2411 | 2320 | 1850 | 2411 |
\(R^{2}\) | 0.112 | 0.136 | 0.042 | 0.121 |
Adjusted \(R^{2}\) | 0.110 | 0.134 | 0.039 | 0.120 |
F Statistic | 59.878∗∗∗ | 70.139∗∗∗ | 15.590∗∗∗ | 62.212∗∗∗ |
(df = 5;2405) | (df = 5;2314) | (df = 5;1844) | (df = 5;2405) |