Table 16 Pseudo-panel FE estimation. Cells based on 16 supra-regional labor market instead of 106 local labor market regions (MS-regions)
From: Does ICT affect the demand for vocationally educated workers?
(1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
Untrained | VET | High school | PET | UAS | University | |
ICT | − 0.119*** (0.0425) | − 0.221*** (0.0557) | 0.0391* (0.0209) | 0.0871*** (0.0333) | 0.172*** (0.0317) | 0.0417 (0.0369) |
Firm total employment | 0.00000529* (0.00000306) | − 0.00000628** (0.00000286) | − 0.000000337 (0.000000700) | 0.000000239 (0.00000102) | − 6.06e−08 (0.000000711) | 0.00000115 (0.00000104) |
Tenure | − 0.00843*** (0.00303) | 0.00880*** (0.00315) | 0.000500 (0.00114) | 0.00448*** (0.00154) | − 0.00105 (0.00122) | − 0.00429*** (0.00154) |
Tenure squared | 0.000152 (0.000111) | − 0.000180 (0.000114) | 0.0000113 (0.0000409) | − 0.000137*** (0.0000522) | 0.0000523 (0.0000426) | 0.000102** (0.0000501) |
Age | 0.0102 (0.00778) | − 0.0616*** (0.00846) | − 0.00358 (0.00290) | 0.00311 (0.00480) | 0.0128*** (0.00358) | 0.0391*** (0.00601) |
Age squared | − 0.0000507 (0.0000986) | 0.000716*** (0.000106) | 0.0000119 (0.0000345) | − 0.0000326 (0.0000609) | − 0.000160*** (0.0000430) | − 0.000484*** (0.0000769) |
Part-time dummy | 0.0894*** (0.0169) | − 0.106*** (0.0167) | 0.0221*** (0.00597) | − 0.0189** (0.00748) | 0.0258*** (0.00772) | − 0.0123 (0.00963) |
Male | 0.0216 (0.0207) | 0.0228 (0.0205) | 0.0114 (0.00718) | − 0.00451 (0.00929) | − 0.0436*** (0.00912) | − 0.00763 (0.0118) |
Time * Supra-region FE | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
N | 14181 | 14181 | 14181 | 14181 | 14181 | 14181 |
Mean dependent variable | 0.246 | 0.507 | 0.0306 | 0.0901 | 0.0573 | 0.0682 |