Robust logistic regression used for the estimation of propensity score
| Variables | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Employees | 0.001*** (0.000) | −0.007 (0.006) | −0.004 (0.006) |
| Company’s Age | −0.115*** (0.039) | −0.142*** (0.039) | −0.139*** (0.037) |
| Founder/CEO gender | 0.635** (0.261) | 0.700*** (0.262) | 0.613** (0.262) |
| Legal form | −1.664*** (0.556) | −1.711*** (0.507) | −1.631*** (0.467) |
| Micro | −1.820* (1.009) | −1.947* (0.999) | |
| Small | 0.0533 (0.882) | 0.136 (0.888) | |
| Manufacturing | −0.065 (0.456) | ||
| Commerce | −0.404 (0.501) | ||
| Services | 1.376*** (0.397) | ||
| Constant | −3.614*** (0.688) | −2.207** (1.095) | −2.679** (1.080) |
| Observations | 16,929 | 16,929 | 16,929 |
| Variables | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Employees | 0.001 | −0.007 | −0.004 |
| Company’s Age | −0.115 | −0.142 | −0.139 |
| Founder/CEO gender | 0.635 | 0.700 | 0.613 |
| Legal form | −1.664 | −1.711 | −1.631 |
| Micro | −1.820 | −1.947 | |
| Small | 0.0533 | 0.136 | |
| Manufacturing | −0.065 | ||
| Commerce | −0.404 | ||
| Services | 1.376 | ||
| Constant | −3.614 | −2.207 | −2.679 |
| Observations | 16,929 | 16,929 | 16,929 |
Notes: ***p < 0.01; **p < 0.05; *p < 0.1; robust standard errors in parentheses; dependent variable: dummy = 1 if company was treated
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