EPJ Data Science

Table 7 Results of random effects regressions on individual centrality and position for people and companies combined

From: The effect of anti-money laundering policies: an empirical network analysis

	Dependent variable
	Centrality measures			Transitivity	Constraint
	Degree	Betweenness	Closeness	Transitivity	Constraint
Laundry	1.934^∗	0.0002	−0.235^∗∗∗	0.015	−0.197^∗∗∗
Laundry	(1.072)	(0.003)	(0.052)	(0.031)	(0.057)
No Laundry	0.541^∗∗∗	0.00004	0.012	0.002	−0.039^∗∗∗
No Laundry	(0.191)	(0.0005)	(0.009)	(0.005)	(0.010)
After AML4	0.721^∗∗∗	0.003^∗∗∗	−0.103^∗∗∗	0.001	−0.015^∗∗∗
After AML4	(0.029)	(0.0002)	(0.001)	(0.001)	(0.001)
Laundry: After AML4	1.038^∗∗∗	0.004^∗∗∗	0.046^∗∗∗	−0.029^∗∗	−0.085^∗∗∗
Laundry: After AML4	(0.304)	(0.002)	(0.012)	(0.012)	(0.013)
No Laundry: After AML4	0.270^∗∗∗	0.0002	−0.009^∗∗∗	−0.001	0.001
No Laundry: After AML4	(0.049)	(0.0003)	(0.002)	(0.002)	(0.002)
Constant	2.586^∗∗∗	0.0003	0.487^∗∗∗	0.032^∗∗∗	0.864^∗∗∗
Constant	(0.079)	(0.0002)	(0.004)	(0.002)	(0.004)
Observations	29,733	29,733	29,733	29,733	29,733
\(R^{2}\)	0.021	0.011	0.251	0.00001	0.224
Adjusted \(R^{2}\)	0.021	0.011	0.251	−0.0002	0.224
F Statistic (df = 5; 29727)	117.640^∗∗∗	65.900^∗∗∗	1994.087^∗∗∗	−7.179	1663.129^∗∗∗

Note: ^∗p<0.1; ^∗∗p<0.05; ^∗∗∗p<0.01.

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