Matched sample regression results
| Panel A: mean comparison between engineer CEOs treated and control groups – PSM | |||
|---|---|---|---|
| Parameter | Treated −124 observations | Control – 124 observations | Std mean difference |
| ROA | 0.032 | 0.052 | 0.020 |
| FirmSize | 21.000 | 21.200 | 0.200 |
| Leverage | 1.920 | 1.840 | 0.080 |
| CAPEX | 7.416 | 7.002 | 0.412 |
| SalesGrowth | 0.242 | 0.265 | 0.023 |
| Panel A: mean comparison between engineer CEOs treated and control groups – PSM | |||
|---|---|---|---|
| Parameter | Treated −124 observations | Control – 124 observations | Std mean difference |
| 0.032 | 0.052 | 0.020 | |
| 21.000 | 21.200 | 0.200 | |
| 1.920 | 1.840 | 0.080 | |
| 7.416 | 7.002 | 0.412 | |
| 0.242 | 0.265 | 0.023 | |
| Panel B: regression using the PSM sample | ||
|---|---|---|
| Parameter | Estimate | Std estimate |
| 0.192 | 0.000 | |
| EngCEO | 0.019 | 0.142* |
| BEng | (0.050) | (0.138)** |
| BSize | (0.000) | (0.003) |
| BInd | 0.000 | 0.023 |
| ROA | (0.089) | (0.191)*** |
| FirmSize | (0.009) | (0.231)** |
| Leverage | 0.011 | 0.230*** |
| CAPEX | (0.000) | (0.110)* |
| SalesGrowth | 0.045 | 0.316*** |
| CEOGender | (0.002) | (0.006) |
| CEODuality | (0.003) | (0.014) |
| Year and industry fixed effects | Yes | |
| Adjusted R-squared | 0.360 | |
| Panel B: regression using the PSM sample | ||
|---|---|---|
| Parameter | Estimate | Std estimate |
| 0.192 | 0.000 | |
| 0.019 | 0.142* | |
| (0.050) | (0.138)** | |
| (0.000) | (0.003) | |
| 0.000 | 0.023 | |
| (0.089) | (0.191)*** | |
| (0.009) | (0.231)** | |
| 0.011 | 0.230*** | |
| (0.000) | (0.110)* | |
| 0.045 | 0.316*** | |
| (0.002) | (0.006) | |
| (0.003) | (0.014) | |
| Yes | ||
| 0.360 | ||
Note(s): *, ** and *** indicate statistical significance at 10, 5, and 1% levels, respectively. Variables are as defined in Table 1. t-statistics are reported in parentheses
Source(s): Authors’ own work
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