From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.137** (0.0558) | − 0.103* (0.0608) | 0.00771 (0.0157) | 0.0974** (0.0394) | 0.0442* (0.0257) | 0.0909* (0.0516) |
Firm total employment | 0.0000830 (0.0000592) | − 0.0000578 (0.0000610) | − 0.00000588 (0.0000175) | − 0.0000249 (0.0000289) | − 0.0000309 (0.0000273) | 0.0000364 (0.0000361) |
Tenure | − 0.00464 (0.00382) | 0.0161*** (0.00376) | − 0.000743 (0.00123) | 0.000735 (0.00187) | − 0.00273* (0.00161) | − 0.00873*** (0.00227) |
Tenure squared | 0.0000567 (0.000128) | − 0.000532*** (0.000128) | 0.0000416 (0.0000404) | − 0.0000131 (0.0000621) | 0.000155*** (0.0000591) | 0.000292*** (0.0000818) |
Age | − 0.0129 (0.0112) | − 0.106*** (0.0114) | − 0.00542 (0.00419) | 0.0222*** (0.00514) | 0.0329*** (0.00441) | 0.0688*** (0.00857) |
Age squared | 0.000212 (0.000137) | 0.00128*** (0.000140) | 0.0000436 (0.0000498) | − 0.000270*** (0.0000647) | − 0.000409*** (0.0000552) | − 0.000852*** (0.000104) |
Part-time dummy | 0.114*** (0.0199) | − 0.0974*** (0.0191) | 0.00296 (0.00536) | − 0.0224*** (0.00831) | 0.0267*** (0.00902) | − 0.0234** (0.0108) |
Male | 0.0778*** (0.0277) | − 0.0129 (0.0274) | 0.00857 (0.00633) | − 0.0263** (0.0122) | − 0.0585*** (0.0117) | 0.0113 (0.0160) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 10422 | 10422 | 10422 | 10422 | 10422 | 10422 |
Mean dependent variable | 0.251 | 0.508 | 0.0217 | 0.0954 | 0.0617 | 0.0620 |