Table 4

GLS regression with the CEO−CFO pay gap as the dependent variable, the CEO−CFO power gaps as independent variables, as well as the CEO−CFO celebrity gaps as the mediating variable

(1)(2)(3)(4)(5)(6)
VariablesCEO−CFO pay gapCEO−CFO pay gapCEO−CFO pay gapCEO−CFO pay gapCEO−CFO pay gapCEO−CFO pay gap
CEO−CFO celebrity gap0.105***0.103***0.096***0.100***0.101***0.091***
(0.033)(0.033)(0.032)(0.033)(0.033)(0.032)
CEO−CFO ownership power gap 0.926   0.218
 (0.649)   (0.657)
CEO−CFO prestige power gap  3.702***  3.269***
  (0.698)  (0.729)
CEO−CFO expert power gap   1.264*** 0.638
   (0.488) (0.505)
CEO−CFO structural power gap    1.034***0.826**
    (0.390)(0.390)
Gender0.605*0.633*0.3500.671*0.608*0.422
(0.360)(0.361)(0.359)(0.360)(0.359)(0.361)
Education−0.211−0.207−0.216−0.216−0.219−0.222
(0.196)(0.196)(0.194)(0.196)(0.196)(0.194)
ROA−0.030−0.031−0.025−0.034*−0.025−0.024
(0.021)(0.021)(0.021)(0.021)(0.021)(0.021)
Firm age0.0010.0020.0010.003−0.0010.001
(0.007)(0.007)(0.007)(0.007)(0.007)(0.007)
Firm size−1.328***−1.326***−1.309***−1.303***−1.308***−1.283***
(0.166)(0.166)(0.164)(0.166)(0.166)(0.164)
Leverage−0.548−0.524−0.093−0.534−0.389−0.004
(0.715)(0.715)(0.712)(0.713)(0.715)(0.713)
Board size0.110*0.117*0.127**0.115*0.1030.124**
(0.063)(0.064)(0.063)(0.063)(0.063)(0.063)
Board nationality mix−1.676**−1.676**−1.876***−1.690**−1.667**−1.859***
(0.687)(0.687)(0.681)(0.685)(0.685)(0.680)
Board gender ratio−2.410−2.647*−2.691*−2.386−2.275−2.600*
(1.555)(1.563)(1.540)(1.551)(1.552)(1.548)
Constant8.510***8.490***7.714***8.320***8.422***7.643***
(1.511)(1.510)(1.503)(1.509)(1.507)(1.501)
Observations1,0751,0751,0721,0751,0751,072
Number of years444444
Industry classification codeIncludedIncludedIncludedIncludedIncludedIncluded
Year dummiesIncludedIncludedIncludedIncludedIncludedIncluded

Note(s): ***p < 0.01, **p < 0.05, *p < 0.1; standard errors in parentheses; precise p-values are available from the authors

Source(s): Authors’ own work

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