Table 2 Regression results for estimating Eq. (2).

From: Estimating money laundering flows with a gravity model-based simulation

 

Dependent variable

Value of STRs

Number of STRs

(1)

(2)

Border

 − 5.677 (1.250)***

 − 0.983 (0.631)

Common language

6.428 (1.330)***

3.869 (0.733)***

Common currency

0.143 (0.506)

 − 0.055 (0.167)

Colonial background

2.665 (0.958)***

0.204 (0.340)

Common religion

2.118 (0.681)***

1.282 (0.224)***

Distance

 − 1.490 (0.124)***

 − 0.406 (0.042)***

Trade

0.082 (0.021)***

0.023 (0.005)***

GDP:i

0.749 (0.068)***

0.253 (0.018)***

GDP:j

1.126 (0.069)***

0.401 (0.023)***

GDPpc:i

0.125 (0.154)

0.031 (0.039)

GDPpc:j

 − 1.094 (0.137)***

 − 0.421 (0.050)***

Egmont member:i

0.759 (0.444)*

 − 0.092 (0.111)

Egmont member:j

1.607 (0.416)***

0.539 (0.163)***

Conflict:i

0.773 (0.328)**

0.246 (0.089)***

Conflict:j

0.225 (0.263)

0.321 (0.123)***

Corruption control:i

0.460 (0.672)

0.308 (0.176)*

Corruption control:j

 − 0.437 (0.672)

 − 0.369 (0.226)

Taxhaven:i

0.217 (0.159)

0.095 (0.042)**

Taxhaven:j

0.258 (0.159)

0.039 (0.053)

(Intercept)

13.824 (1.975)***

4.169 (0.615)***

Year dummies included

Yes

Yes

R2

0.482

0.501

Adj. R2

0.476

0.496

Num. obs

2266

2266

F statistic

144.109

91.285

RMSE

3.852

1.250

  1. All variables are in logs.
  2. Heteroskedasticity consistent standard errors in parentheses.
  3. ***p < 0.01, **p < 0.05, *p < 0.1.