Regression results explaining employment growth on the full data sample
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| HWSE | Heckman | |||
| Creativity | 0.835*** | 0.545 | 5.984*** | −4.753** |
| Product Innovation | 1.050*** | 1.059*** | 3.955*** | 3.891*** |
| Process Innovation | −0.060 | −0.057 | −0.443 | −0.264 |
| Firm Size | 0.057*** | 0.057*** | 0.169** | 0.158** |
| Firm Age | 0.008 | 0.0101 | 2.452*** | 2.086*** |
| Managerial Experience | 0.051*** | 0.056*** | 0.057*** | 0.026 |
| Education | 0.016*** | 0.013*** | 0.0198 | −0.003 |
| Skilled Staff | 1.171*** | 1.172*** | 1.263*** | 1.261*** |
| Internal R&D | 0.488* | 0.477 | 2.207 | 3.050 |
| External R&D | 0.268 | 0.917 | 9.468*** | 11.320*** |
| External funding | 0.002 | 0.001 | 0.058** | 0.060** |
| Managerial Experience*Creativity | −0.013 | 0.474*** | ||
| Education*Creativity | 0.008* | 0.074*** | ||
| Skilled Staff*Creativity | 0.717* | 7.380*** | ||
| Internal R&D*Creativity | −0.216 | −5.343 | ||
| External R&D*Creativity | −1.382 | −4.966 | ||
| Constant | 3.417*** | 3.512*** | 6.551*** | 9.505*** |
| Net effect of creativity | 0.835 | 3.626 | 5.984 | 11.274 |
| λ | −1.558** | 5.191** | ||
| Sigma | 41.865 | 41.799 | ||
| HWSE Model/Wald χ2 | 2076.22*** | 1880.57*** | 5646.25*** | 5818.57*** |
| Pseudo R2 | 0.926 | 0.927 | ||
| rho | −0.114 | 0.224 | ||
| Observations | 9304 | 9305 | 9306 | 9306 |
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| HWSE | Heckman | |||
| 0.835*** | 0.545 | 5.984*** | −4.753** | |
| Product Innovation | 1.050*** | 1.059*** | 3.955*** | 3.891*** |
| Process Innovation | −0.060 | −0.057 | −0.443 | −0.264 |
| Firm Size | 0.057*** | 0.057*** | 0.169** | 0.158** |
| Firm Age | 0.008 | 0.0101 | 2.452*** | 2.086*** |
| Managerial Experience | 0.051*** | 0.056*** | 0.057*** | 0.026 |
| Education | 0.016*** | 0.013*** | 0.0198 | −0.003 |
| Skilled Staff | 1.171*** | 1.172*** | 1.263*** | 1.261*** |
| Internal R&D | 0.488* | 0.477 | 2.207 | 3.050 |
| External R&D | 0.268 | 0.917 | 9.468*** | 11.320*** |
| External funding | 0.002 | 0.001 | 0.058** | 0.060** |
| Managerial Experience*Creativity | −0.013 | 0.474*** | ||
| Education*Creativity | 0.008* | 0.074*** | ||
| Skilled Staff*Creativity | 0.717* | 7.380*** | ||
| Internal R&D*Creativity | −0.216 | −5.343 | ||
| External R&D*Creativity | −1.382 | −4.966 | ||
| Constant | 3.417*** | 3.512*** | 6.551*** | 9.505*** |
| Net effect of creativity | 0.835 | 3.626 | 5.984 | 11.274 |
| λ | −1.558** | 5.191** | ||
| Sigma | 41.865 | 41.799 | ||
| HWSE Model/Wald | 2076.22*** | 1880.57*** | 5646.25*** | 5818.57*** |
| Pseudo R2 | 0.926 | 0.927 | ||
| rho | −0.114 | 0.224 | ||
| Observations | 9304 | 9305 | 9306 | 9306 |
Note(s): All estimations include country, industry, location, and year dummies. The selection equation from the Heckman two-stage model is not reported; only the outcome equation is reported in Models 3 and 4. Asterisks ***, **, and * denote 1%, 5%, and 10% significance, respectively
Source(s): Created by authors
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