Table 7.

CEO tenure and firm performance – robustness tests

Variable(s)One year lagged effectsFirm fixed effectsChange analysis
Model 1Model 2Model 3
Coefficient (t-value)Coefficient (t-value)Coefficient (t-value)
CEO_TENURE0.0901*** (2.71)0.1067** (2.11)0.0118** (2.41)
CEO_AGE0.5491 (0.72)0.3511 (0.62)0.4012 (0.71)
CEO_GENDER−0.6199*** (−2.98)−0.8411** (−2.11)−0.1159 (−1.29)
CEO_FOUNDER0.0410 (0.25)0.0911 (0.48)−0.1125 (−0.59)
CEO_DUAL−0.0695 (−0.39)−0.1592 (−0.59)0.0288 (0.17)
SIZE−0.2619*** (−7.11)−0.2568*** (−3.79)−0.0489 (−1.59)
LEV−0.5641*** (−3.11)−0.5891*** (−2.92)−0.2721 (−1.39)
LOSS−0.0035 (−0.24)−0.0031 (−0.27)−0.0011 (−0.01)
Constant1.0678** (2.62)1.2789*** (2.72)0.9912*** (4.11)
YEAR_FEYesYesYes
INDUSTRY_FEYesYesYes
FIRM FENoYesYes
Adj R20.19510.20140.0912
N1,4201,5221522

Note(s): Table 7 reports the regression results testing the relationship between CEO tenure and firm performance using a change (and lag effect) analysis and firm fixed effect regression. All variable definitions are in  Appendix. ***, ** and * represent statistical significance at the 1,5 and 10% levels, respectively (two-tailed tests)

Source(s): Authors’ calculation

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