***P < 0.001. Robust standard errors clustered by venture in parentheses.
| Effect on ln funding: | Model 1 | Model 2 | Model 3 |
| Founding CEO gender | −3.75*** | −12.44*** | −10.16*** |
| Female = 1 | (0.75) | (2.05) | (1.97) |
| Industry gender dominance | −0.03 | −0.01 | |
| Percentage women employed | (0.02) | (0.02) | |
| Founder * Industry | 0.16*** | 0.12*** | |
| Gender interaction | (0.04) | (0.04) | |
| Founding CEO age | 0.57 | ||
| (0.38) | |||
| Venture launch location | 0.54 | ||
| (0.54) | |||
| Venture age | 0.05 | ||
| (0.12) | |||
| Venture quality | 2.24*** | ||
| (0.58) | |||
| Venture industry | 0.01 | ||
| (0.07) | |||
| Venture operating status | 3.17*** | ||
| (0.63) | |||
| Intercept | 13.27*** | 14.33*** | 9.42*** |
| (0.31) | (0.84) | (1.40) | |
| Multiple R2 | 0.06 | 0.11 | 0.21 |
| Adjusted R2 | 0.06 | 0.10 | 0.20 |
| F statistic | 24.87*** | 15.63*** | 11.62*** |