Table 3

Regression analysis – impact of female directors on the cost of equity capital

Variables(1)(2)(3)(4)(5)(6)(7)
PEGPEGPEGMPEGMPEGMPEGVIF
Intercept0.076***0.080***0.081***0.140***0.151***0.148*** 
(12.186)(14.006)(14.355)(24.387)(28.599)(28.348) 
LNFEM−0.004***  −0.006***  1.96
(−2.831)  (−4.783)   
FEMDUM −0.005***  −0.003** 1.39
 (−2.867)  (−2.373)  
FEMPER  −0.011**  −0.019***1.28
  (−2.098)  (−3.872) 
LNBOD−0.007***−0.008***−0.009***−0.015***−0.02***−0.019***1.52
(−2.978)(−4.031)(−4.651)(−7.111)(−10.208)(−10.166) 
INDPER−0.001−0.002−0.0020.0030.0010.0021.07
(−0.44)(−0.575)(−0.595)(0.891)(0.364)(0.669) 
CEODUAL0.002**0.002**0.002**−0.003***−0.003***−0.003***1.03
(2.003)(2.026)(2.00)(−3.449)(−3.406)(−3.457) 
LNMEET0.008***0.008***0.008***−0.001−0.001−0.0011.05
(5.209)(5.18)(5.206)(−0.757)(−0.822)(−0.752) 
BIG4−0.001−0.001−0.0010.0010.0010.0011.15
(−0.514)(−0.372)(−0.535)(0.762)(0.676)(0.74) 
AUDOPIN0.006***0.006***0.006***−0.003***−0.003**−0.003***1.02
(5.91)(6.006)(5.956)(−2.808)(−2.574)(−2.746) 
RESTATE0.005**0.005**0.005**0.009***0.009***0.009***1.01
(2.283)(2.296)(2.291)(4.247)(4.277)(4.258) 
LNSIZE−0.001**−0.001**−0.001**−0.001***−0.001***−0.001***1.67
(−2.195)(−2.322)(−2.368)(−2.803)(−3.563)(−3.03) 
LEVER0.032***0.032***0.032***0.027***0.027***0.027***1.13
(10.742)(10.711)(10.726)(9.581)(9.523)(9.555) 
LOSS0.030***0.030***0.030***0.019***0.019***0.019***1.29
(12.65)(12.621)(12.658)(8.703)(8.733)(8.712) 
ROA−0.062***−0.062***−0.062***−0.040***−0.040***−0.040***1.31
(−15.558)(−15.612)(−15.578)(−10.892)(−10.961)(−10.922) 
SALEGR−0.006**−0.006**−0.006**0.006**0.007***0.006**1.08
(−2.248)(−2.213)(−2.203)(2.412)(2.644)(2.465) 
BETA0.018***0.018***0.018***0.017***0.018***0.017***1.05
(16.038)(16.122)(16.096)(17.145)(17.469)(17.213) 
IndustryYesYesYesYesYesYes 
YearYesYesYesYesYesYes 
Observations8,2248,2248,2248,2248,2248,224 
Adj R214.2214.2114.2311.3611.1411.23 

Note(s): This table reports regression results of the relation between the cost of equity capital and female directorship. The dependent variables are PEG and MPEG. ***, **, * Indicate statistical significance at the 1, 5 and 10 percent levels, respectively, based on a two-tailed test. t-statistics are in parentheses. Standard errors are two-way clustered by firm and year to correct for cross-sectional and time-series dependence. VIF stands for Variance Inflation Factor. See Appendix for variable definitions

Source(s): Computed by authors

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