
handle: 10419/33535 , 20.500.11937/21065
This paper uses the Longitudinal Survey of Immigrants to Australia to analyze the determinants of the level and growth in earnings of adult male immigrants in their first 3.5 years in Australia. The theoretical framework is based on the immigrant adjustment model, which incorporates both the transferability of immigrant skills and selectively in migration. The cross-sectional and longitudinal analyses generate similar findings. The level and relative growth of earnings are higher for immigrants with higher levels of skill and who are economic/skills tested migrants, as distinct from family based and refugee migrants. The analysis indicates that immigrant economic assimilation does occur and that in these data the cross-section provides a good estimate of the longitudinal progress of immigrants. The findings are robust across statistical techniques.
330, longitudinal survey, ddc:330, immigrants, Männliche Arbeitskräfte, Lohn, Australia, Bildungsertrag, Australien, wages, Soziale Integration, inertia model, J61, F22, J31
330, longitudinal survey, ddc:330, immigrants, Männliche Arbeitskräfte, Lohn, Australia, Bildungsertrag, Australien, wages, Soziale Integration, inertia model, J61, F22, J31
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 88 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
