From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.118** (0.0464) | − 0.135** (0.0613) | 0.0476* (0.0265) | 0.0746** (0.0368) | 0.0836** (0.0327) | 0.0406 (0.0460) |
Firm total employment | 0.00000718* (0.00000394) | − 0.0000101** (0.00000456) | 0.000000316 (0.000000949) | 0.00000331 (0.00000305) | 0.00000106 (0.00000162) | − 0.00000228 (0.00000280) |
Tenure | − 0.00465** (0.00216) | 0.00626** (0.00249) | 0.0000152 (0.000634) | 0.00166 (0.00127) | − 0.000893 (0.00106) | − 0.00286*** (0.00104) |
Tenure squared | 0.0000412 (0.0000710) | − 0.000149* (0.0000833) | 0.0000114 (0.0000216) | − 0.00000692 (0.0000415) | 0.0000403 (0.0000339) | 0.0000772** (0.0000323) |
Age | 0.00801* (0.00486) | − 0.0213*** (0.00544) | − 0.00559*** (0.00184) | 0.00330 (0.00279) | 0.00394* (0.00221) | 0.0127*** (0.00262) |
Age squared | − 0.0000397 (0.0000595) | 0.000234*** (0.0000666) | 0.0000504** (0.0000219) | − 0.0000467 (0.0000339) | − 0.0000500* (0.0000281) | − 0.000158*** (0.0000330) |
Part-time dummy | 0.0622*** (0.0140) | − 0.0504*** (0.0151) | 0.0123*** (0.00426) | − 0.0300*** (0.00764) | 0.00659 (0.00597) | 0.00174 (0.00761) |
Male | 0.00905 (0.0169) | 0.0968*** (0.0193) | − 0.00189 (0.00596) | − 0.00998 (0.0103) | − 0.0583*** (0.00897) | − 0.0316*** (0.00894) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 25838 | 25838 | 25838 | 25838 | 25838 | 25838 |
Mean dependent variable | 0.213 | 0.552 | 0.0267 | 0.0966 | 0.0545 | 0.0570 |