EPJ Data Science

Table 8 Results of random effects regressions on individual centrality and position of people

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

	Dependent variable
	Centrality measures			Transitivity	Constraint
	Degree	Betweenness	Closeness	Transitivity	Constraint
Laundry	1.788^∗	0.0003	−0.242^∗∗∗	0.009	−0.182^∗∗∗
Laundry	(1.074)	(0.001)	(0.051)	(0.034)	(0.059)
No Laundry	0.489^∗∗	0.0001	0.012	−0.0003	−0.031^∗∗∗
No Laundry	(0.195)	(0.0002)	(0.009)	(0.006)	(0.011)
After AML4	0.901^∗∗∗	0.002^∗∗∗	−0.107^∗∗∗	−0.004^∗∗∗	−0.017^∗∗∗
After AML4	(0.035)	(0.0001)	(0.001)	(0.001)	(0.002)
Laundry: After AML4	0.933^∗∗∗	0.005^∗∗∗	0.049^∗∗∗	−0.026^∗∗	−0.084^∗∗∗
Laundry: After AML4	(0.293)	(0.001)	(0.012)	(0.011)	(0.013)
No Laundry: After AML4	0.224^∗∗∗	0.0005^∗∗∗	−0.008^∗∗∗	−0.0001	0.002
No Laundry: After AML4	(0.047)	(0.0001)	(0.002)	(0.002)	(0.002)
Constant	2.824^∗∗∗	0.0003^∗∗	0.496^∗∗∗	0.043^∗∗∗	0.833^∗∗∗
Constant	(0.115)	(0.0001)	(0.005)	(0.004)	(0.006)
Observations	17,649	17,649	17,649	17,649	17,649
\(R^{2}\)	0.040	0.025	0.262	0.0002	0.144
Adjusted \(R^{2}\)	0.039	0.025	0.261	−0.0001	0.143
F Statistic (df = 5; 17643)	140.373^∗∗∗	91.812^∗∗∗	1249.580^∗∗∗	−2.104	572.798^∗∗∗

Note: ^∗p<0.1; ^∗∗p<0.05; ^∗∗∗p<0.01.

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