From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.0890*** (0.0251) | − 0.155*** (0.0344) | 0.0386*** (0.0148) | 0.0521* (0.0267) | 0.0914*** (0.0204) | 0.0614** (0.0310) |
Firm total employment | 0.0000112*** (0.00000211) | − 0.0000107*** (0.00000283) | − 0.000000124 (0.000000629) | − 1.50e−08 (0.00000126) | − 0.000000531 (0.000000796) | 0.000000202 (0.00000105) |
Tenure | − 0.00966*** (0.00163) | 0.00847*** (0.00209) | 0.000586 (0.000623) | 0.00308*** (0.00112) | − 0.000943 (0.00105) | − 0.00153 (0.00113) |
Tenure squared | 0.000165*** (0.0000581) | − 0.000143* (0.0000756) | − 0.0000193 (0.0000212) | − 0.0000667 (0.0000406) | 0.0000841** (0.0000405) | − 0.0000200 (0.0000400) |
Age | − 0.00461 (0.00366) | − 0.0189*** (0.00439) | − 0.00623*** (0.00151) | 0.00672*** (0.00239) | 0.00664*** (0.00209) | 0.0164*** (0.00277) |
Age squared | 0.000109** (0.0000448) | 0.000196*** (0.0000540) | 0.0000554*** (0.0000180) | − 0.0000811*** (0.0000302) | − 0.0000881*** (0.0000262) | − 0.000191*** (0.0000352) |
Part-time dummy | 0.0713*** (0.0106) | − 0.0723*** (0.0122) | 0.0129*** (0.00384) | − 0.0370*** (0.00622) | 0.0348*** (0.00638) | − 0.00962 (0.00721) |
Male | 0.000297 (0.0115) | 0.108*** (0.0145) | 0.00663 (0.00445) | − 0.00496 (0.00753) | − 0.0753*** (0.00821) | − 0.0348*** (0.00827) |
Time * Region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 26538 | 26538 | 26538 | 26538 | 26538 | 26538 |
Mean dependent variable | 0.182 | 0.549 | 0.0319 | 0.0969 | 0.0662 | 0.0743 |