Table 9 GMM estimations: 2012–2018
From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT (occupation-based) | 0.00800 (0.0889) | − 0.133 (0.111) | 0.00972 (0.0469) | − 0.00685 (0.0716) | 0.102 (0.0768) | 0.0157 (0.0658) |
Firm total employment | 0.000000672 (0.00000426) | − 0.0000133** (0.00000581) | 0.000000792 (0.00000160) | 0.00000518 (0.00000372) | 0.00000678* (0.00000382) | − 6.91e−08 (0.00000366) |
Tenure | − 0.0121*** (0.00398) | 0.00913* (0.00469) | − 0.000484 (0.00156) | 0.00320 (0.00246) | 0.000893 (0.00202) | − 0.00123 (0.00220) |
Tenure squared | 0.000275** (0.000122) | − 0.000202 (0.000147) | − 0.0000312 (0.0000516) | − 0.0000174 (0.0000794) | − 0.0000658 (0.0000641) | 0.0000550 (0.0000683) |
Age | 0.0134 (0.00852) | − 0.0242** (0.00941) | − 0.0124*** (0.00347) | 0.00640 (0.00483) | 0.0126*** (0.00383) | 0.00477 (0.00417) |
Age squared | − 0.0000941 (0.000103) | 0.000264** (0.000115) | 0.000133*** (0.0000403) | − 0.0000786 (0.0000584) | − 0.000152*** (0.0000480) | − 0.0000772 (0.0000506) |
Part− time dummy | 0.0298 (0.0274) | − 0.0250 (0.0323) | 0.0135 (0.0115) | − 0.0327* (0.0168) | − 0.00166 (0.0147) | 0.0219 (0.0148) |
Male | 0.0566* (0.0295) | − 0.00200 (0.0349) | − 0.0138 (0.0129) | − 0.0221 (0.0197) | − 0.00933 (0.0149) | − 0.00899 (0.0177) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 6952 | 6952 | 6952 | 6952 | 6952 | 6952 |
Mean dependent variable | 0.185 | 0.521 | 0.0391 | 0.110 | 0.0654 | 0.0793 |