From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.0983*** (0.0252) | − 0.188*** (0.0307) | 0.0299** (0.0126) | 0.0569** (0.0221) | 0.120*** (0.0178) | 0.0797*** (0.0254) |
Firm total employment | 0.0000123*** (0.00000231) | − 0.0000108*** (0.00000248) | − 0.000000321 (0.000000634) | − 0.000000135 (0.00000118) | − 0.000000740 (0.000000835) | − 0.000000298 (0.000000934) |
Tenure | − 0.00552*** (0.00129) | 0.00758*** (0.00151) | − 0.0000482 (0.000441) | 0.00172** (0.000785) | − 0.000859 (0.00616) | − 0.00288*** (0.000682) |
Tenure squared | 0.0000956** (0.0000449) | − 0.000167*** (0.0000511) | 0.00000910 (0.0000147) | − 0.0000351 (0.0000269) | 0.0000486*** (0.0000211) | 0.0000485** (0.0000216) |
Age | 0.00698** (0.00285) | − 0.0292*** (0.00332) | − 0.00417*** (0.00108) | 0.00648*** (0.00181) | 0.00669*** (0.00136) | 0.0132*** (0.00182) |
Age squared | − 0.0000340 (0.0000349) | 0.000310*** (0.0000407) | 0.0000353*** (0.0000128) | − 0.0000773*** (0.0000224) | − 0.0000820*** (0.0000170) | − 0.000152*** (0.0000231) |
Part-time dummy | 0.0378*** (0.0085) | − 0.0386*** (0.00880) | 0.00848*** (0.00263) | − 0.0247*** (0.00437) | 0.0204*** (0.00421) | − 0.00341 (0.00458) |
Male | 0.0119 (0.00947) | 0.0455*** (0.0108) | 0.00872*** (0.00304) | − 0.00734 (0.00523) | − 0.0435*** (0.00552) | − 0.0153*** (0.00546) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 48386 | 48386 | 48386 | 48386 | 48386 | 48386 |
Mean dependent variable | 0.223 | 0.553 | 0.0250 | 0.0919 | 0.0537 | 0.0539 |