Table 4 Logistic regression results for... | Emerald Publishing

Table 4

Logistic regression results for open product, open process and open product and process innovation

Variables	y₁		y₂		y₃
	Coef	S.E.	Coef	S.E.	Coef	S.E.
x₁	0.642^***	0.060	0.738^***	0.057	0.638^***	0.049
x₂	0.814^***	0.061	0.719^***	0.058	0.762^***	0.050
x₃	−0.078^*	0.043	−0.136^***	0.042	−0.152^***	0.038
x₄	0.135^***	0.021	0.367^***	0.020	0.267^***	0.019
x₅	0.538^***	0.031	0.454^***	0.030	0.504^***	0.027
x₆	1.463^***	0.038	1.166^***	0.038	1.432^***	0.036
x₇	1.046^***	0.063	1.171^***	0.062	1.388^***	0.069
x₈	−0.182^***	0.028	−0.365^***	0.028	−0.215^***	0.025
_cons	−3.531^***	0.048	−3.616^***	0.046	−3.088^***	0.040
Log pseudolikelihood	−17429.153		−17867.43		−21314.12
Wald χ² (8)	5218.22		4828.84		5692.75
Prob > χ²	0.0000		0.0000		0.0000
Pseudo R² McFadden	0.1557		0.1462		0.1568
Pseudo R² Nagelkerke	0.2160		0.2050		0.2330

Variables	y₁		y₂		y₃
	Coef	S.E.	Coef	S.E.	Coef	S.E.
x₁	0.642^***	0.060	0.738^***	0.057	0.638^***	0.049
x₂	0.814^***	0.061	0.719^***	0.058	0.762^***	0.050
x₃	−0.078^*	0.043	−0.136^***	0.042	−0.152^***	0.038
x₄	0.135^***	0.021	0.367^***	0.020	0.267^***	0.019
x₅	0.538^***	0.031	0.454^***	0.030	0.504^***	0.027
x₆	1.463^***	0.038	1.166^***	0.038	1.432^***	0.036
x₇	1.046^***	0.063	1.171^***	0.062	1.388^***	0.069
x₈	−0.182^***	0.028	−0.365^***	0.028	−0.215^***	0.025
_cons	−3.531^***	0.048	−3.616^***	0.046	−3.088^***	0.040
Log pseudolikelihood	−17429.153		−17867.43		−21314.12
Wald χ² (8)	5218.22		4828.84		5692.75
Prob > χ²	0.0000		0.0000		0.0000
Pseudo R² McFadden	0.1557		0.1462		0.1568
Pseudo R² Nagelkerke	0.2160		0.2050		0.2330

Note(s): ^* p-value ≤0.1, ^** p-value ≤0.05, ^*** p-value ≤0.01. Robust standard error in S.E. column

Source(s): Own elaboration