Table 8

Robustness check: gender quotas and glass cliff: random effects panel regression models

Total sample Nonlisted and nonstate participated
Variables (1)
β (se)
(2)
β (se)
(3)
β (se)
(4)
β (se)
(5)
β (se)
(6)
β (se)
(7)
β (se)
(8)
β (se)
(9)
β (se)
(10)
β (se)
Board size0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)0.01*** (0.000)
Firm size−0.002 (0.010)−0.002 (0.010)−0.002 (0.010)−0.002 (0.010)−0.002 (0.011)−0.01 (0.012)−0.01 (0.012)−0.01 (0.012)−0.01 (0.010)−0.01 (0.010)
Law0.16*** (0.001)0.16*** (0.001)0.16*** (0.001)0.16*** (0.000)0.16*** (0.001)0.08*** (0.013)0.07*** (0.016)0.08*** (0.015)0.08*** (0.015)0.07*** (0.015)
Women executives0.14*** (0.026)0.14*** (0.024)0.14*** (0.029)0.14*** (0.030)0.14*** (0.029)0.13*** (0.033)0.13*** (0.033)0.14*** (0.033)0.14*** (0.030)0.14*** (0.028)
Roe −0.10*** (0.011)   −0.04 (0.066)−0.05*** (0.000)   
Roe2 0.12 (0.078)    0.26*** (0.037)   
Bad performance  0.01*** (0.001)    0.02*** (0.006)  
Roa   −0.16* (0.0853)−0.24** (0.0929)   0.07 (0.071)0.02 (0.176)
Roa2    1.31** (0.606)    0.91 (3.410)
R-squared within0.5430.5490.5390.5400.5400.5420.5480.5480.5390.540
N232232232232232116116116116116

Notes:

Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1

Source: Authors’ own creation

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