A Weighted Statistical Network Modeling Approach to Product Competition Analysis

Table 4

Estimated coefficients of the 2013 choice network.

Input variables	Model 1	Model 2	Model 3
Network configuration effect
Sum/intercept	6.19	6.11	5.77
Cyclical weights		−0.06
Transitive weights			0.16
Main effect (inward node attributes)
Import	0.03	0.03	0.03
Price (log2)	−1.05	−1.04	−1.03
Power (log2)	0.30	0.30	0.30
Fuel consumption	0.58	0.58	0.57
Brand origin (USA)	0.82	0.81	0.78
Brand origin (Europe)	0.15	0.13	0.15
Brand origin (Japan)	0.80	0.80	0.75
Brand origin (Korean)	0.56	0.56	0.54
Homophily effect (dyadic attributes)
Market segment matching	0.68	0.69	0.67
Brand origin matching	0.99	1.00	0.98
Akaike information criterion (AIC)	−68 209	−68 211	−68 252
Bayesian information criterion (BIC)	−68 113	−68 106	−68 147

Note: , , , and .