The effect of ex-military CEOs on income smoothing: instrumental variable analysis using birth-cohort instruments on restricted sample (1993–2011)
| Variables | MILITARY_CEO | SMTHt,t + 4 |
|---|---|---|
| MILITARY_CEO (instrumented) | 0.456*** (2.987) | |
| birth_year_ceo | −0.067*** (−22.975) | |
| conflict_cohort | 0.276*** (4.264) | |
| Observations | 23,637 | 23,637 |
| Adjusted R-squared | 0.425 | 0.458 |
| Firm controls | YES | YES |
| CEO controls | YES | YES |
| Firm and year FEs | YES | YES |
| Hansen p-value | 0.430 | |
| Cragg–Donald Wald F-statistic | 363.3 | |
| Kleibergen–Paap Wald F-statistic | 66.23 | |
| Variables | MILITARY_CEO | |
|---|---|---|
| MILITARY_CEO (instrumented) | 0.456 | |
| birth_year_ceo | −0.067 | |
| conflict_cohort | 0.276 | |
| Observations | 23,637 | 23,637 |
| Adjusted | 0.425 | 0.458 |
| Firm controls | ||
| Firm and year FEs | ||
| Hansen | 0.430 | |
| Cragg–Donald Wald | 363.3 | |
| Kleibergen–Paap Wald | 66.23 | |
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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