From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.0828*** (0.0296) | − 0.189*** (0.0369) | 0.0247** (0.0117) | 0.0506* (0.0273) | 0.133*** (0.0227) | 0.0637** (0.0306) |
Firm total employment | 0.00189*** (0.000200) | − 0.00211*** (0.000226) | 0.000110* (0.0000645) | − 0.000443*** (0.000116) | 0.000272*** (0.0000975) | 0.000274** (0.000111) |
Tenure | − 0.00531*** (0.00138) | 0.00717*** (0.00164) | − 0.000124 (0.000481) | 0.00189** (0.000867) | − 0.000855 (0.000667) | − 0.00277*** (0.000735) |
Tenure squared | 0.0000838* (0.0000484) | − 0.000145*** (0.0000555) | 0.0000107 (0.0000161) | − 0.0000345 (0.0000296) | 0.0000432* (0.0000225) | 0.0000414* (0.0000229) |
Age | 0.00671** (0.00294) | − 0.0232*** (0.00348) | − 0.00406*** (0.00114) | 0.00596*** (0.00192) | 0.00497*** (0.00143) | 0.00957*** (0.00185) |
Age squared | − 0.0000305 (0.0000360) | 0.000234*** (0.0000426) | 0.0000350*** (0.0000135) | − 0.0000715*** (0.0000237) | − 0.0000606*** (0.0000178) | − 0.000106*** (0.0000236) |
Part-time dummy | 0.0279*** (0.00871) | − 0.0391*** (0.0101) | 0.00984*** (0.00309) | − 0.0266*** (0.00519) | 0.0218*** (0.00488) | 0.00626 (0.00507) |
Male | 0.00481 (0.0102) | 0.0522*** (0.0119) | 0.00870** (0.00338) | − 0.00491 (0.00594) | − 0.0407*** (0.00618) | − 0.0201*** (0.00578) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 34173 | 34173 | 34173 | 34173 | 34173 | 34173 |
Mean dependent variable | 0.211 | 0.573 | 0.0260 | 0.0910 | 0.0503 | 0.0492 |