Different ways to cut data
| Dependent variable: | Paarsche10 | Paarshe25 |
|---|---|---|
| Method: | Binary logit | Binary logit |
| Coefficient (std error) | Coefficient (std error) | |
| Demand | 1.82E–10*** | 1.73E–10*** |
| (2.88.E–11) | (3.94.E–11) | |
| TechOpportunity1 | 0.047*** | 0.116*** |
| 0.008 | 0.014 | |
| TechOpportunity2 | 0.035*** | 0.012 |
| 0.011 | 0.020 | |
| Appropriatability1 | 0.009*** | –0.005 |
| 0.003 | 0.005 | |
| Appropriatability2 | –0.073 | –0.274 |
| 0.207 | 0.354 | |
| CostAdvantage | –6.663*** | –7.446*** |
| 0.498 | 0.842 | |
| Agressiveness | –0.003*** | –0.008*** |
| 0.000 | 0.001 | |
| Certainty1 | –0.182** | –0.625*** |
| 0.088 | 0.164 | |
| Certainty2 | 0.077 | 0.406*** |
| 0.080 | 0.116 | |
| Constant | 4.872*** | 5.408*** |
| 0.496 | 0.835 | |
| OtherFactors | Yes | Yes |
| OtherDummies | Yes | Yes |
| Observations | 44,014 | 44,014 |
| McFadden R2 | 0.033 | 0.074 |
| Dependent variable: | Paarsche10 | Paarshe25 |
|---|---|---|
| Method: | Binary logit | Binary logit |
| Coefficient (std error) | Coefficient (std error) | |
| Demand | 1.82E–10 | 1.73E–10 |
| (2.88.E–11) | (3.94.E–11) | |
| TechOpportunity1 | 0.047 | 0.116 |
| 0.008 | 0.014 | |
| TechOpportunity2 | 0.035 | 0.012 |
| 0.011 | 0.020 | |
| Appropriatability1 | 0.009 | –0.005 |
| 0.003 | 0.005 | |
| Appropriatability2 | –0.073 | –0.274 |
| 0.207 | 0.354 | |
| CostAdvantage | –6.663 | –7.446 |
| 0.498 | 0.842 | |
| Agressiveness | –0.003 | –0.008 |
| 0.000 | 0.001 | |
| Certainty1 | –0.182 | –0.625 |
| 0.088 | 0.164 | |
| Certainty2 | 0.077 | 0.406 |
| 0.080 | 0.116 | |
| Constant | 4.872 | 5.408 |
| 0.496 | 0.835 | |
| OtherFactors | Yes | Yes |
| OtherDummies | Yes | Yes |
| Observations | 44,014 | 44,014 |
| McFadden | 0.033 | 0.074 |
The symbols ***, ** and *indicate significance at the 1, 5 and 10% levels, respectively