Table 4.
Regression results for node vulnerability analysis.
Dependent Variable | Node Vulnerability (Auto Industry Network) |
Node Vulnerability (Random Network) |
||
---|---|---|---|---|
Model (5) | Model (6) | Model (7) | Model (8) | |
FR | 0.026*** | 0.026*** | 0.142*** | 0.142*** |
(0.003) | (0.002) | (0.003) | (0.003) | |
BR | 0.222*** | 0.222*** | 0.152*** | 0.152*** |
(0.003) | (0.002) | (0.003) | (0.003) | |
RC | −0.100*** | −0.100*** | −0.116*** | −0.116*** |
(0.003) | (0.002) | (0.003) | (0.003) | |
TD | 0.220*** | 0.220*** | 0.122*** | 0.122*** |
(0.005) | (0.005) | (0.003) | (0.003) | |
DD | −0.103*** | −0.103*** | −0.007* | −0.007** |
(0.005) | (0.005) | (0.003) | (0.003) | |
FR * TD | 0.009 | −0.024*** | ||
(0.005) | (0.003) | |||
BR * TD | −0.079*** | −0.006* | ||
(0.005) | (0.003) | |||
FR * DD | −0.0002 | 0.045*** | ||
(0.005) | (0.003) | |||
BR * DD | 0.021*** | −0.046*** | ||
(0.005) | (0.003) | |||
Constant | 0.618*** | 0.618*** | 0.699*** | 0.699*** |
(0.003) | (0.002) | (0.003) | (0.003) | |
Number of observations | 3267 | 3267 | 3267 | 3267 |
Adj. R2 | 0.790 | 0.828 | 0.708 | 0.755 |
F Statistic | 2452.3*** (df = 5; 3261) |
1749.5*** (df = 9; 3257) |
1582.5*** (df = 5; 3261) |
1118.1*** (df = 9; 3257) |
Standard errors in parentheses.
* p < 0.05, ** p < 0.01, *** p < 0.001.