Table 7

Moderating impacts of board diversity on the relationship between ownership structure and REM

VariablesDependent variable: REM
Fixed effectSystem GMM
REMikt−1 0.021*** (4.952)
OWNCON−0.042*** (−5.315)−0.033*** (−3.631)
MANOWN−0.017* (−1.892)−0.003* (−1.951)
FOROWN−0.032** (−2.001))−0.005 (−1.208)
INSOWN−0.075 (−1.045)−0.021 (−1.012)
BDIV−0.142*** (−6.315)−0.047*** (−4.346)
OWNCON × BDIV−0.282*** (−7.215)−0.282*** (−4.235)
MANOWN × BDIV−0.092** (−2.351)−0.042* (−1.761)
FOROWN × BDIV−0.057 (−1.037)−0.037 (−1.091)
INSOWN × BDIV−0.082*** (−3.255)−0.098 (−0.029)
FSIZE0.035** (2.281)0.061*** (3.361)
ROA−0.087*** (−6.684)−0.007* (−1.674)
LEV0.029* (1.761)0.012 (1.124)
FAGE0.008 (1.214)0.002 (1.013)
YDMYesYes
CDMYesYes
Constant−0.124*** (−3.438)−0.161*** (−4.538)
R20.322 
F-statistic59.092***66.004***
Chow test (p-value)0.000 
Breusch-Pagan LM test (p-value)0.000 
Hausman F/R test (p-value)0.009 
Durbin-Wu-Hausman test for endogeneity (p-value) 0.000
Hansen J-statistic (p-value) 0.589
AR(1) p-value 0.012
AR(2) p-value 0.367
No. of observations346346

Note(s): Asterisks denotes significance level at 10% (*), 5% (**) and 1% (***). The numbers in parenthesis indicate t-statistics. In this study, we used the two-step system GMM as our baseline model. We conduct the Durbin-Wu-Hausman test for the endogeneity test of all regressors as a group. Endogeneity testing via Durbin-Wu-Hausman implies a rejection of the null hypothesis that the regressors are exogeneous; hence the system GMM necessarily be used. In addition, Hansen’s J-statistic results show that we cannot reject the null hypothesis that the instrumental variables used in the system GMM model are valid, which supports the validity of over-identifying restrictions and the arguments for using the system GMM. The F-statistic value is significant, indicating that the model has predictive power. AR(1) shows the presence of first-order autocorrelation of residuals, whereas AR(2) indicates that there is no second-order autocorrelation. The p-values of both Chow and Breusch-Pagan LM tests indicate that either fixed-effect or random-effect regression procedures should be used, based on the results. The Hausman fixed, or random (F/R) test findings confirm that the fixed effect is the optimal approach. Year dummies and country dummies are unreported

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