Table 2

Regression results explaining employment growth on the full data sample

Model 1Model 2Model 3Model 4
HWSEHeckman
Creativity0.835***0.5455.984***−4.753**
Product Innovation1.050***1.059***3.955***3.891***
Process Innovation−0.060−0.057−0.443−0.264
Firm Size0.057***0.057***0.169**0.158**
Firm Age0.0080.01012.452***2.086***
Managerial Experience0.051***0.056***0.057***0.026
Education0.016***0.013***0.0198−0.003
Skilled Staff1.171***1.172***1.263***1.261***
Internal R&D0.488*0.4772.2073.050
External R&D0.2680.9179.468***11.320***
External funding0.0020.0010.058**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
Constant3.417***3.512***6.551***9.505***
Net effect of creativity0.8353.6265.98411.274
λ  −1.558**5.191**
Sigma  41.86541.799
HWSE Model/Wald χ22076.22***1880.57***5646.25***5818.57***
Pseudo R20.9260.927  
rho  −0.1140.224
Observations9304930593069306

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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