From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.171*** (0.0288) | − 0.292*** (0.0333) | 0.0774*** (0.0204) | 0.0918*** (0.0197) | 0.133*** (0.0226) | 0.162*** (0.0253) |
Firm total employment | 0.00000545** (0.00000246) | − 0.00000621*** (0.00000152) | − 0.000000284 (0.000000360) | 0.000000207 (0.00000138) | 0.000000413 (0.000000736) | 0.000000426 (0.000000673) |
Tenure | − 0.0108*** (0.00181) | 0.00656*** (0.00204) | 0.000641 (0.000595) | 0.00287*** (0.00105) | 0.000781 (0.000910) | − 0.0000238 (0.000945) |
Tenure squared | 0.000175*** (0.0000648) | − 0.0000797 (0.0000723) | − 0.0000197 (0.0000205) | − 0.0000421 (0.0000353) | 0.00000890 (0.0000322) | − 0.0000428 (0.0000329) |
Age | 0.00438 (0.00402) | − 0.0321*** (0.00470) | − 0.00455*** (0.00131) | 0.0123*** (0.00233) | 0.00945*** (0.00194) | 0.0105*** (0.00260) |
Age squared | 0.0000113 (0.0000491) | 0.000334*** (0.0000577) | 0.0000422*** (0.0000156) | − 0.000155*** (0.0000290) | − 0.000117*** (0.0000246) | − 0.000117*** (0.0000341) |
Part-time dummy | 0.0550*** (0.0105) | − 0.0527*** (0.0113) | 0.0156*** (0.00306) | − 0.0287*** (0.00550) | 0.0179*** (0.00564) | − 0.00704 (0.00565) |
Male | 0.0339*** (0.0126) | 0.0402*** (0.0147) | 0.00147 (0.00423) | − 0.0270*** (0.00712) | − 0.0295*** (0.00760) | − 0.0191** (0.00748) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 26358 | 26358 | 26358 | 26358 | 26358 | 26358 |
Mean dependent variable | 0.218 | 0.545 | 0.0256 | 0.0923 | 0.0618 | 0.0570 |