International Journal of Manpower
Volume 30, Issue 1-2, 2009, Pages 26-42
Ethnicity and the immigration of highly skilled workers to the United States (Article)
Jasso G.*
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a
Department of Sociology, New York University, New York, United States, IZA, Bonn, Germany
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. © Emerald Group Publishing Limited.
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Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-70149098370&partnerID=40&md5=e3802f2a86d828410c4172ba231b21fb
ISSN: 01437720
Cited by: 5
Original Language: English