Table 2

Random-effects GLS regression of MBV on board characteristics and controls

Model 1: % womenModel 2: ≥2 women dummyModel 3: Blau index
Intercept3.081*** (1.053)3.109*** (1.056)3.091*** (1.068)
Percentage of Women on Board0.046 (0.315)  
Female ≥2 on Board (Dummy) 0.027 (0.094) 
Blau Index of Gender Diversity  0.725** (0.286)
Board Size (no. of directors)0.011 (0.019)0.010 (0.019)0.009 (0.019)
Board Meetings (per year)−0.029 (0.029)−0.028 (0.029)−0.018 (0.029)
Firm Size (Log Assets)−0.312** (0.129)−0.315** (0.130)−0.334** (0.131)
Firm Age (years)0.000 (0.009)0.000 (0.009)−0.000 (0.009)
Leverage (Debt/Assets)1.365*** (0.312)1.368*** (0.312)1.447*** (0.314)
Industrial Sector (Dummy)0.076 (0.087)0.076 (0.087)0.086 (0.085)
COVID-19 Period (2020–21)−0.057 (0.050)−0.056 (0.050)−0.064 (0.049)
2023 War (Dummy)0.035 (0.071)0.035 (0.070)0.002 (0.071)
Observations (Firm-Years)287287287
Number of Firms414141
Wald χ2 (df)45.17*** (10)45.63*** (10)51.82*** (10)
Hausman Test (χ2, p-value)8.72 (p = 0.37)

Note(s): Coefficients are GLS estimates from random-effects models; standard errors (in parentheses) are robust to clustering by firm

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