From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT (occupations-based) | − 0.0609 (0.0396) | − 0.103** (0.0425) | 0.0199 (0.0238) | 0.0465 (0.0380) | 0.0701* (0.0359) | 0.0274 (0.0297) |
Firm total employment | 0.00000624** (0.00000268) | − 0.00000585* (0.00000325) | 0.000000172 (0.000000787) | − 0.000000116 (0.000000851) | − 0.000000618 (0.000000637) | 0.000000170 (0.00000111) |
Tenure | − 0.00932*** (0.00201) | 0.00803*** (0.00249) | − 0.00145 (0.000970) | 0.00315** (0.00144) | − 0.000277 (0.00108) | − 0.000132 (0.00138) |
Tenure squared | 0.000213*** (0.0000681) | − 0.000199** (0.0000797) | 0.0000499 (0.0000329) | − 0.0000353 (0.0000488) | 0.0000118 (0.0000380) | − 0.0000407 (0.0000430) |
Age | 0.00596 (0.00463) | − 0.0244*** (0.00574) | − 0.00811*** (0.00230) | 0.00744** (0.00308) | 0.00890*** (0.00258) | 0.0102*** (0.00309) |
Age squared | − 0.0000254 (0.0000561) | 0.000262*** (0.0000689) | 0.0000790*** (0.0000267) | − 0.0000897** (0.0000372) | − 0.000107*** (0.0000321) | − 0.000119*** (0.0000381) |
Part-time dummy | 0.0221 (0.0152) | − 0.0109 (0.0177) | 0.00951 (0.00648) | − 0.0277*** (0.00938) | 0.0207*** (0.00798) | − 0.0137 (0.00922) |
Male | 0.0327* (0.0174) | 0.0133 (0.0202) | 0.00440 (0.00799) | − 0.0159 (0.0105) | − 0.0319*** (0.00970) | − 0.00252 (0.0110) |
Time * MS-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 17747 | 17747 | 17747 | 17747 | 17747 | 17747 |
Mean dependent variable | 0.191 | 0.528 | 0.0380 | 0.103 | 0.0630 | 0.0768 |