Table 8.

CEO tenure and firm performance – propensity score matching (PSM) analysis

Variable(s)Treatment firmsControl firmsDifferencet-stat
Panel A: Quality of propensity score matching (PSM)
Dependent variable    
TOBINSQ1.98811.63340.35472.19**
Control variable(s)    
CEO_AGE2.73152.7232−0.0083−0.31
CEO_GENDER0.10450.1143−0.0098−0.39
CEO_FOUNDER0.26470.25160.01310.37
CEO_DUAL0.14700.1797−0.0327−1.09
SIZE19.123019.2030−0.0800−0.51
LEV0.21330.2290−0.0157−0.92
LOSS0.10120.1112−0.0100−0.17
Panel B: CEO tenure and firm performance using PSM regressions 
Variable(s)Model 1
 Coefficient (t-value)
CEO_TENURE0.1601** (2.24)
CEO_AGE−0.6911 (−0.45)
CEO_GENDER−1.1912*** (−3.89)
CEO_FOUNDER0.2512 (1.19)
CEO_DUAL−0.4892** (−2.23)
SIZE−0.2611*** (−4.87)
LEV−1.9910*** (−4.27)
LOSS−0.0082 (−1.12)
Constant8.5328* (1.84)
YEAR_FEYes
INDUSTRY_FEYes
Adj R20.1598
N532

Note(s): Table 8 reports the regression results testing the relationship between CEO tenure and firm performance following the propensity score matching approach. 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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