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USA immigration policy, source-country social programs, and the skill composition of legal USA immigration
Abstract In this paper, highly skilled and less-skilled immigrants in three age classes (20–34, 35–49, and 50–64) are distinguished. Since most highly skilled immigrants are males who enter the USA as numerically restricted, we study only numerically restricted male immigrants. Annual data (1972–1991) for 86 source countries are pooled, and the Hausman–Taylor instrumental variable technique is used to estimate the regressions. Along with measures of differential economic opportunities, migration costs, and USA institutional controls, we incorporate a unique set of variables relating to social programs in source countries. Such programs prove to be significant determinants of the skill composition of USA immigrants.
USA immigration policy, source-country social programs, and the skill composition of legal USA immigration
Abstract In this paper, highly skilled and less-skilled immigrants in three age classes (20–34, 35–49, and 50–64) are distinguished. Since most highly skilled immigrants are males who enter the USA as numerically restricted, we study only numerically restricted male immigrants. Annual data (1972–1991) for 86 source countries are pooled, and the Hausman–Taylor instrumental variable technique is used to estimate the regressions. Along with measures of differential economic opportunities, migration costs, and USA institutional controls, we incorporate a unique set of variables relating to social programs in source countries. Such programs prove to be significant determinants of the skill composition of USA immigrants.
USA immigration policy, source-country social programs, and the skill composition of legal USA immigration
Greenwood, Michael J. (author) / McDowell, John M. (author)
2009
Article (Journal)
Electronic Resource
English
RVK:
ELIB39
/
ELIB45
Local classification FBW:
oek 2608
BKL:
74.80
Demographie
/
83.31$jWirtschaftswachstum
/
74.80$jDemographie$XGeographie
/
83.31
Wirtschaftswachstum
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