Table 7

Logistic regression estimates

Regression estimates
ZSCRSBY
Leadership
JKW leadership period 1JKW leadership period 2JKW leadership
VariableModel 1Model 2Model 3Model 4Model 5
PC-SB0.384*** (−5.29)0.106*** (−3.28)0.625** (−2.00)0.257*** (−4.02)0.464*** (−4.03)
RGYM0.972 (−0.09)
BCZE1.049*** (3.89)1.124*** (3.75)1.054*** (2.79)1.026 (1.04)1.039*** (2.81)
FAGE1.014*** (6.65)0.999 (−0.17)1.019*** (5.50)1.014*** (4.08)1.015*** (6.63)
FSIZ1.021 (1.73)1.015 (0.25)1.033* (1.88)1.026 (0.56)1.027* (1.68)
LVRG0.982 (−1.36)0.998 (−0.35)0.991 (−0.56)0.401*** (−6.18)0.957** (−2.02)
SOE0.779 (−1.48)1.168 (0.44)0.720 (−1.24)0.713 (−1.05)0.672** (−1.9s8)
INDYIncludedIncludedIncludedIncludedIncluded
YIRIncludedIncludedIncludedIncludedIncluded
Pseudo R20.0480.1430.0460.0640.034
Chi2215.39110.4690.58110.85125.51
Prob > Chi20.000***0.000***0.000***0.000***0.000***
N3,4985891,5621,3392,904

Note(s): Table 7 presents the results of the logistic regression estimation. Model 1 is the regression estimate using the years 2010–2022. Model 2 is the regression estimate for the SBY's leadership period from 2010–2013. Model 3 is the regression estimate for the JKW's first leadership period from 2014–2018 to. Model 4 is the regression estimate for the JKW's second leadership period from 2019–2022 to. Model 5 is the regression estimate for the JKW's leadership period, spanning both terms from 2014–2022 to. *** denotes a 1% significance level, ** denotes a 5% significance level, and * denotes a 10% significance level. all variable definitions

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