Table 6 Wage regressions by major occupation
From: Using tools to distinguish general and occupation-specific skills
| Â | Male | Female | Service | Sales | Admin |
|---|---|---|---|---|---|
# Job-specific tools | .0341* (.0184) | .0403** (.0193) | .0350 (.0558) | 2.9851*** (.4202) | .1529 (.2660) |
Specific squared | − .0001 (.0008) | − .0001 (.0010) | − .0023 (.0088) | − 4.2719*** (.7879) | − .1347 (.2012) |
Total tools | − .0134 (.0114) | − .0220* (.0119) | − .0653* (.0340) | − .2292 (.1671) | − .2177* (.1077) |
Total tools squared | − .0002 (.0004) | − .0000 (.0004) | .0034 (.0028) | − .1412** (.0460) | .0498* (.0268) |
Number of clusters | 300 | 300 | 39 | 13 | 24 |
Observations | 525,898 | 515,341 | 207,764 | 132,593 | 156,764 |
R-squared | .344 | .296 | .187 | .317 | .178 |
| Â | Construction | Installation and repair | Production | Transportation | Â |
|---|---|---|---|---|---|
# Job-specific tools | .0884 (.0808) | − .0666 (.1188) | − .0849* (.0443) | .3589*** (.0743) |  |
Specific squared | − .0250** (.0104) | .0051 (.0214) | .0089 (.0057) | − .0739*** (.0187) |  |
Total tools | .0044 (.0295) | .0955* (.0532) | .0635** (.0255) | .0274 (.1053) | Â |
Total tools squared | .0010 (.0010) | − .0046 (.0029) | − .0022* (.0011) | − .0059 (.0128) |  |
Number of clusters | 31 | 23 | 31 | 21 | Â |
Observations | 58,020 | 39,144 | 56,848 | 81,993 | Â |
R-squared | .161 | .194 | .237 | .187 | Â |