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Ethnicity and the immigration of highly skilled workers to the United States.
- Source :
-
International Journal of Manpower . 2009, Vol. 30 Issue 1/2, p26-42. 17p. 7 Charts. - Publication Year :
- 2009
-
Abstract
- Purpose -- This paper aims to examine ethnicity among highly skilled immigrants to the USA. Design/methodology/approach -- The paper examines five classic components of ethnicity -- country of birth, race, skin color, language, and religion -- among persons admitted to legal permanent residence in the USA in 2003, as principals in the three main employment categories (EB-1, EB-2, and EB-3), using data collected in the US New Immigrant Survey. Findings -- The visa categories have distinctive ethnic configurations. India dominates EB-2, European countries and Canada EB-1. The ethnicity portfolio contains more languages than religions. Language is shed before religion, and religion may not be shed at all, except among the ultra highly skilled of EB-1. Highly skilled immigrants are mostly male; they are not immune from lapsing into illegality; they have a shorter visa process than their cohortmates; smaller proportions than in the cohort overall intend to remain in the USA. Larger proportions in EB-2 and EB-3 sent remittances than in the cohort overall. A little measure of assimilation -- using dollars to describe earnings in the country of last residence, even when requested to use the country's currency -- suggests that highly skilled immigrants are more likely to "think in dollars" than their cohortmates. Research limitations/implications -- The paper is like an aerial reconnaissance. It is necessary to now go under the ledges and into the caves. Originality/value -- The data used are the first ever collected on a probability sample of new legal immigrants to the USA. It is expected that many researchers will use these data to generate valuable new knowledge. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ETHNICITY
*SKILLED labor
*IMMIGRANTS
*EMPLOYMENT
*LABOR supply
Subjects
Details
- Language :
- English
- ISSN :
- 01437720
- Volume :
- 30
- Issue :
- 1/2
- Database :
- Academic Search Index
- Journal :
- International Journal of Manpower
- Publication Type :
- Academic Journal
- Accession number :
- 42206336
- Full Text :
- https://doi.org/10.1108/01437720910948375