Centrality in the macroeconomic multi-network explains the spatiotemporal distribution of country per-capita income

Applied Network Science

Table 11 Panel regression exercises. Spatial Error Models. Estimation results. Significance: * 0.10, 0.05, * 0.01

Dependent Variable: pcGDP. Contiguity spatial weights, Weighted EIC
Setup	Network	Coeff	p value	Stars	Lambda	Std Err
Separately	Trade	0.098	0.003	***	0.339***	0.033
	Migration	0.02	0.091	*	0.341***	0.012
	Finance	0.23	0.001	***	0.334***	0.069
Jointly	Trade	0.098	0.003	***	0.325***	0.033
	Migration	0.017	0.088	*	0.325***	0.010
	Finance	0.233	0.001	***	0.325***	0.070

Dependent Variable: pcGDP. Contiguity spatial weights, Binary EIC
Setup	Network	Coeff	p value	Stars	Lambda	Std Err
Separately	Trade	0.077	0.021	**	0.342***	0.033
	Migration	0.021	0.082	*	0.348***	0.012
	Finance	0.154	0.009	***	0.344***	0.058
Jointly	Trade	0.082	0.013	**	0.350***	0.033
	Migration	0.034	0.079	*	0.350***	0.019
	Finance	0.157	0.008	***	0.350***	0.059

Dependent Variable: pcGDP. Inverse-distance spatial weights, Weighted EIC
Setup	Network	Coeff	p value	Stars	Lambda	Std Err
Separately	Trade	0.111	0.001	***	0.065*	0.033
	Migration	0.012	0.086	*	0.084***	0.007
	Finance	0.195	0.004	***	0.085***	0.067
Jointly	Trade	0.108	0.002	***	− 0.100*	0.034
	Migration	0.077	0.077	*	− 0.100*	0.043
	Finance	0.284	0.003	***	− 0.100*	0.094

Dependent Variable: pcGDP. Inverse-distance spatial weights, Binary EIC
Setup	Network	Coeff	p value	Stars	Lambda	Std Err
Separately	Trade	0.072	0.034	**	0.047***	0.034
	Migration	0.009	0.069	*	0.071*	0.005
	Finance	0.134	0.049	**	0.673***	0.068
Jointly	Trade	0.085	0.009	***	0.046*	0.032
	Migration	− 0.005	0.073	*	0.046*	− 0.003
	Finance	0.171	0.008	***	0.046*	0.064