Table 6

Glass cliff and WoBs: fixed 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 size−0.003 (0.004)−0.002 (0.004)0.005*** (0.000)−0.002 (0.004)−0.002 (0.004)−0.01** (0.004)−0.01*** (0.004)0.006*** (0.000)−0.01** (0.006)−0.01* (0.002)
Firm size0.02 (0.031)0.03 (0.029)−0.002 (0.010)0.02 (0.058)0.02 (0.057)0.02 (0.033)0.03 (0.032)−0.013 (0.012)0.02 (0.030)0.02 (0.030)
Law0.14*** (0.017)0.14*** (0.017)0.16*** (0.000)0.15** (0.007)0.15** (0.005)0.04*** (0.018)0.04** (0.018)0.07*** (0.010)0.04 (0.008)0.04 (0.015)
Women executives 0.58*** (0.038)0.15*** (0.036)0.13*** (0.029)0.15* (0.019)0.15* (0.017)0.14** (0.055)0.12** (0.056)0.14*** (0.033)0.13 (0.054)0.13 (0.043)
Roe0.08 (0.072)−0.13* (0.077)   −0.02 (0.080)−0.03 (0.080)   
Roe2 0.38** (0.168)    0.341 (0.212)   
Bad performance  0.01*** (0.000)    0.02*** (0.006)  
Roa   −0.21 (0.183)−0.34 (0.245)   0.15 (0.276)−0.03 (0.108)
Roa2    2.44* (0.302)    7.61 (2.614)
R-squared within0.5570.5680.5390.5530.5540.4080.4360.2900.4090.428
N232232232232232116116116116116

Notes: Robust standard errors in parentheses. ***p < 0.01; **p < 0.05; *p < 0.1. *Models 3 and 10 are without fixed effects for high collinearity. 1Significance level = 12%

Source: Authors’ own creation

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