Table A4.

The effect of ex-military CEOs on income smoothing: instrumental variable analysis using birth-cohort instruments on restricted sample (1993–2011)

VariablesMILITARY_CEOSMTHt,t + 4
MILITARY_CEO (instrumented)0.456*** (2.987)
birth_year_ceo−0.067*** (−22.975)
conflict_cohort0.276*** (4.264)
Observations23,63723,637
Adjusted R-squared0.4250.458
Firm controlsYESYES
CEO controlsYESYES
Firm and year FEsYESYES
Hansen p-value0.430
Cragg–Donald Wald F-statistic363.3
Kleibergen–Paap Wald F-statistic66.23
Note(s):

This table reports first-stage (Column 1) and second-stage (Column 2) results from two-stage least squares (2SLS) estimation on the restricted sample (1993–2011). Instruments are birth_year_ceo (CEO’s birth year) and conflict_cohort (=1 if CEO born between 1930 and 1943, 0 otherwise). The first stage predicts MILITARY_CEO; the second stage regresses SMTH on instrumented MILITARY_CEO and controls. Standard errors are clustered at the firm level. The z-statistics are reported in parentheses below. ***, ** and * denote two-tailed significance at the 0.01, 0.05 and 0.10 levels, respectively. All variables are defined in  Appendix 1

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