From: Skill mismatch among migrant workers: evidence from a large multi-country dataset
Netherlands | Belarus | Germany | Brazil | Ukraine | Argentina | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
MIGRANT | 1.521 | *** | 1.064 | . | 1.158 | * | 0.935 | 1.051 | 1.001 | |||
Age | 0.987 | *** | 1.001 | 1.005 | ** | 0.988 | *** | 0.991 | *** | 0.998 | ||
Breaks | 1.188 | *** | 1.070 | *** | 1.142 | *** | 1.077 | *** | 1.042 | *** | 1.027 | ** |
Second generation | 1.187 | *** | 1.164 | ** | 1.908 | 1.141 | ||||||
Gender (female = 1) | 1.411 | *** | 0.959 | * | 1.284 | *** | 1.327 | *** | 0.858 | *** | 1.222 | *** |
Education (ref. ISCED10) | ||||||||||||
ISCED 20 | 1.936 | *** | 0.491 | . | 1.182 | ** | 1.387 | *** | 0.486 | . | 1.516 | *** |
ISCED 30 | 3.387 | *** | 1.002 | 1.929 | *** | 0.819 | 1.704 | *** | ||||
ISCED 40 | 0.943 | 1.663 | *** | 1.195 | ||||||||
ISCED 50 | 4.801 | *** | 1.200 | 1.925 | *** | 1.245 | * | 1.641 | 1.757 | *** | ||
ISCED 60 | 2.779 | *** | 1.194 | 2.232 | *** | 0.705 | ** | 1.978 | * | 1.603 | *** | |
Corporate hierarchy | ||||||||||||
CH2 | 0.871 | * | 0.516 | *** | 0.453 | *** | 0.585 | *** | 0.422 | *** | 1.054 | |
CH3 | 0.901 | 0.572 | *** | 0.692 | 0.490 | *** | 0.422 | *** | 0.808 | |||
CH4 | 0.286 | *** | 0.453 | *** | 0.303 | * | 0.315 | *** | 0.396 | *** | 0.576 | * |
CH5 | 0.308 | *** | 0.316 | *** | 0.377 | *** | 0.375 | *** | 0.299 | *** | 0.667 | . |
CH6 | 0.149 | *** | 0.289 | *** | 0.363 | ** | 0.292 | *** | 0.235 | *** | 0.434 | ** |
Firm size (ref. 1–10) | ||||||||||||
size 11-50 | 0.989 | 1.016 | 1.091 | 0.871 | *** | 0.930 | . | 1.006 | ||||
size 51-100 | 1.034 | 1.012 | 1.054 | 0.740 | *** | 0.942 | 0.835 | ** | ||||
size 101-500 | 0.959 | 0.991 | 1.079 | 0.737 | *** | 0.989 | 0.891 | * | ||||
size 500+ | 0.818 | *** | 1.157 | *** | 0.920 | 0.767 | *** | 1.075 | . | 0.983 | ||
No. of observations | 53 564 | 43 007 | 22 848 | 26 267 | 29 327 | 20 852 |