Table 3.
Estimation results for the impact of innovation.
| Variable | Firm Performance (ROA) | |
|---|---|---|
| Random-effect, Model 1 | Fixed-effect, Model 2 | |
| 0.009 (0.006) | 0.059*** (0.010) | |
| 0.045*** (0.004) | 0.049*** (0.005) | |
| 0.084*** (0.004) | 0.086*** (0.004) | |
| −0.191*** (0.009) | −0.265*** (0.016) | |
| 0.094*** (0.010) | 0.061*** (0.016) | |
| −0.091*** (0.012) | 0.004 (0.016) | |
| −0.035*** (0.009) | −0.011 (0.011) | |
| 0.005*** (0.000) | 0.006*** (0.001) | |
| −0.389*** (0.036) | −0.523*** (0.042) | |
| 0.661*** (0.015) | 0.697*** (0.018) | |
| Categorical variable | _ | |
| _ | _ | |
| Cons | 4.825*** (0.154) | 5.411*** (0.256) |
| : Within | 0.786 | 0.795 |
| : Between | 0.719 | 0.668 |
| : Overall | 0.668 | 0.635 |
***p < 0.01; **p < 0.05. According to the Hausman test, (10) = 289.90, p < 0.05. Hence, the fixed-effect model fit the data set better than random-effect model.