Table 8

Regression analysis (US)

VariablesModel 1AY = COMPModel 2AY = RESP_INNModel 3AY = ORG_SUPPModel 4AY = COMPModel 5AY = COMPModel 1BY = COMPModel 2BY = RESP_INNModel 3AY = ORG_SUPPModel 4BY = COMPModel 5BY = COMP
RES_AV0.19*** (0.04)1.00*** (0.12)0.24*** (0.02)0.14** (0.06)0.22*** (0.06)
INN_CAP0.17*** (0.04)0.93*** (0.09)0.15*** (0.02)0.13** (0.06)0.15*** (0.04)
RESP_INN0.04 (0.04)0.04 (0.05)
ORG_SUPP−0.16 (0.17)0.14 (0.14)
CEO_AGE1.69 (2.21)−1.65 (6.81)0.58 (1.30)1.76 (2.22)1.78 (2.25)1.96 (2.12)−0.25 (9.08)1.12 (1.89)1.96 (2.09)1.80 (0.14)
CEO_EXP−3.72 (2.24)−4.28 (6.69)−0.78 (1.30)−3.53 (2.19)−3.85* (2.27)−3.12 (2.19)−0.76 (6.57)−0.88 (1.68)−3.09 (2.19)−2.99 (2.18)
CEO_GENDER6.10 (3.73)17.82 (11.12)2.39 (1.66)5.31 (3.71)6.49* (3.80)4.17 (3.19)7.71 (8.97)−1.05 (2.63)3.88 (3.23)4.32 (3.13)
FIRM_SIZE0.48 (2.43)3.36 (8.02)0.58 (1.16)0.33 (2.43)0.57 (2.44)0.34 (2.51)2.64 (6.27)0.44 (1.49)0.24 (2.53)0.28 (2.52)
SECTOR−3.42 (3.06)−7.15 (8.57)0.59 (1.48)−3.10 (3.04)−3.32 (3.04)−4.06 (2.94)−10.18 (8.09)−1.55 (2.21)−3.68 (2.91)−3.84 (2.99)
MARKET8.24*** (3.07)3.79 (8.70)−3.37** (1.54)8.07*** (2.99)7.68** (3.21)7.70*** (2.92)0.49 (8.33)−2.64 (2.43)7.69*** (2.92)8.07*** (2.86)
Constant22.17 (16.35)36.69 (49.84)3.81 (7.51)20.55 (16.28)22.80 (16.59)20.88 (15.45)26.07 (47.81)14.14 (11.57)19.91 (15.31)18.91 (15.63)
No. of obs.94949494949494949494
F-statistics6.86***11.42***36.01***6.71***5.91***7.70***23.02***7.97***7.03***7.05***
R20.340.550.670.350.340.340.590.330.350.35
Mean VIF1.311.311.311.581.791.301.301.301.611.39
Note(s):

The standard errors in parentheses are robust to heteroskedasticity and autocorrelation; latent variables have undergone a transformation process via the Box–Cox technique, Significance levels: *p < 0.10; **p < 0.05; ***p < 0.01

Source(s): Authors’ elaboration using Stata® software

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