Table 2.
Multiple regression model estimation results for evaluating the contribution of explanatory variables to sales
Variables | Model 1 Dependent variable—average annual company revenue (LN) |
Model 2 Dependent variable—average annual company revenue (LN) per employee |
||
---|---|---|---|---|
S. E | Estimate | S. E | Estimate | |
Average R&D investment (LN) | 0.117*** | 0.543 | ||
Average R&D investment (LN) per employee | 0.154*** | 0.540 | ||
Dummy variable: collaboration (1 = at least one collaboration, 0 = no collaboration) | 0.333*** | 1.046 | 0.348*** | 1.103 |
Company age (years) | 0.029*** | 0.128 | 0.029*** | 0.096 |
Company location (1 = Tel Aviv, 0 = other) | 0.370 | − 0.190 | 0.381 | 0.180 |
Company location (1 = Haifa, 0 = other) | 0.468 | − 0.676 | 0.482 | − 0.634 |
Company sector (1 = life sciences, 0 = other) | 0.502 | 0.325 | 0.515 | 0.211 |
Constant | 1.536*** | 5.234 | 1.757*** | 4.543 |
Number of observations | 102 | 102 | ||
Adjusted R2 | 0.422 | 0.282 | ||
F | 13.295 | 7.622 |
***Level of significant 0.01