Table 10.

Multivariate regression analysis (lower ownership concentration vs higher ownership concentration)

VariablesIEIED
Blockholder 50% = 1Blockholder 50% = 0Blockholder 50% = 1Blockholder 50% = 0
(1)(2)(3)(4)(5)(6)(7)(8)
GAPS−0.0008 (−0.486)−0.003*** (−3.086)−0.033 (−0.598)−0.058*** (−2.830)
GAPU−0.0003 (−0.915)−0.0002 (−1.478)−0.010 (−1.178)−0.011*** (−3.021)
ControlsYesYesYesYesYesYesYesYes
Constant−0.025 (−0.576)−0.022 (−0.513)−0.195*** (−11.132)−0.195*** (−11.118)−0.268 (−0.219)−0.177 (−0.145)−1.610*** (−2.955)−1.598*** (−2.931)
IndustryYesYesYesYesYesYesYesYes
YearYesYesYesYesYesYesYesYes
Observations3,2903,29017,06817,0683,2903,29017,06817,068
Adjusted R2/pseudo R20.27370.27390.26400.26390.19050.19070.13670.1367
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): Author’s calculations

or Create an Account

Close Modal
Close Modal