Table 11.

Multivariate regression analysis (state-owned vs non-state-owned enterprise)

VariablesIEIED
SOE = 1SOE = 0SOE = 1SOE = 0
(1)(2)(3)(4)(5)(6)(7)(8)
GAPS−0.001 (-0.447)−0.002*** (−3.321)−0.025 (−0.326)−0.064*** (−3.122)
GAPU−0.00005 (−0.244)−0.0001 (−1.003)−0.002 (−0.356)−0.010*** (−2.639)
ControlsYesYesYesYesYesYesYesYes
Constant−0.091*** (−3.797)−0.092*** (−3.809)−0.185*** (−7.765)−0.185*** (−7.755)−0.097 (−0.125)−0.103 (−0.134)−1.806*** (−2.627)−1.787*** (−2.601)
IndustryYesYesYesYesYesYesYesYes
YearYesYesYesYesYesYesYesYes
Observations7,4987,49812,86012,8607,4987,49812,86012,860
Adjusted R2/ pseudo R20.27070.27070.26730.26700.17670.17670.12890.1287
Note(s):

The table reports Chair–CEO age dissimilarity and IE by cross-sectional. Regressions (1) to (4) report the results from the OLS regression of association between Chair–CEO age dissimilarity (GAPS and GAPU) and IE. Models (5) to (8) report the results from the Logit regression of association between Chair–CEO age dissimilarity (GAPS and GAPU) and IED. *p < 0.10, **p < 0.05, ***p < 0.01. Robust t-statistics (in parentheses) are based on standard errors clustered by firm and year. All variables are defined in  Appendix

Source(s): Authors’ calculations

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