Understanding the Role of Humanistic Factors in Trade Network Evolution across the Belt and Road Initiative Countries Using the Exponential Random Graph Model
Table 4
The estimated results of the temporal ERGM by MCMC MLE.
M(7)
M(8)
M(9)
M(10)
M(11)
Edges
−3.3927 (0.0164)
−3.4223 (0.0161)
−3.5163 (0.0154)
−3.3588 (0.0159)
−3.2989 (0.0157)
Mutual
2.5622 (0.0065)
2.5394 (0.0066)
2.5747 (0.0066)
2.5821 (0.0068)
2.5978 (0.0066)
Main(tradefree)
0.0017 (0.0007)
0.0017 (0.0006)
0.0017 (0.0007)
0.0012 (0.0007)
0.0012 (0.0002)
Main(invfree)
0.0010 (0.0008)
0.0009 (0.0006)
0.0013 (0.0005)
0.0013 (0.0005)
0.0008 (0.0001)
Maim(finfree)
0.0006 (0.0002)
0.0009 (0.0003)
0.0012 (0.0005)
0.0010 (0.0006)
0.0005 (0.0001)
Diff(popd)
0.0000 (0.0000)
0.0000 (0.0000)
0.0000 (0.0000)
0.0000 (0.0000)
0.0000 (0.0000)
Diff(gdpd)
0.0007 (0.0001)
0.0007 (0.0001)
0.0007 (0.0000)
0.0007 (0.0001)
0.0007 (0.0001)
Diff(entry_cost)
−0.0006 (0.0005)
−0.0007 (0.0005)
−0.0005 (0.0005)
−0.0006 (0.0005)
−0.0006 (0.0005)
Homo(gdphigh)
0.0955 (0.0056)
0.1043 (0.0054)
0.0988 (0.0055)
0.0982 (0.0056)
0.0814 (0.0056)
Homo(pophigh)
0.0612 (0.0053)
0.0827 (0.0053)
0.0685 (0.0052)
0.0621 (0.0054)
0.0675 (0.0053)
Send(gdphigh)
1.1989 (0.0059)
1.1825 (0.0059)
1.2264 (0.0060)
1.1906 (0.0061)
1.2123 (0.0062)
Send(pophigh)
0.0787 (0.0060)
0.1060 (0.0058)
0.0480 (0.0058)
0.0444 (0.0062)
0.0583 (0.0060)
Recv(gdphigh)
0.1784 (0.0062)
0.1583 (0.0061)
0.1876 (0.0061)
0.1658 (0.0062)
0.2055 (0.0060)
Recv(pophigh)
0.3159 (0.0060)
0.3305 (0.0060)
0.3197 (0.0058)
0.3141 (0.0059)
0.2862 (0.0059)
Netc(comlang_off)
0.7088 (0.0100)
Netc(comlang_ethno)
0.6073 (0.0082)
Netc(comleg)
0.2176 (0.0043)
Netc(comrelig)
0.2041 (0.0072)
Netc(sibling_ever)
0.2824 (0.0052)
Num. obs.
10620
10620
10620
10620
10620
Note.;; ; the values in parentheses are standard errors.
