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Table 6 Results of random effect regressions on cluster connections

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)

  1. Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01.