Measuring U.S. Immigration

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Like earlier immigrants, today's legal immigrants are uprooted by a common set of economic influences and have similar economic objects in coming to America. Moreover, in spite of today's admission criteria, there is still a self-selection process in which those who expect a net gain are likely to migrate. Empirical evidence shows that legal immigrants, with time and particularly for women, are working. However, the correlation between income and education is stronger than ever in the new economy. Lastly, because the U.S. political system still offers inclusion for legal immigrants, they are becoming more incorporated by both "choice" and "coercion."

Autorentext

Long Le, Ph.D. in Computer Science from University of North Carolina, Research Scientist at NEC Labs Europe. Kevin Jeffay, Ph.D. in Computer Science from University of Washington, Professor at University of North Carolina. F. Donelson Smith, Ph.D. in Computer Science from University of North Carolina, Professor at University of North Carolina.


Klappentext

Like earlier immigrants, today''s legal immigrants are uprooted by a common set of economic influences and have similar economic objects in coming to America. Moreover, in spite of today''s admission criteria, there is still a self-selection process in which those who expect a net gain are likely to migrate. Empirical evidence shows that legal immigrants, with time and particularly for women, are working. However, the correlation between income and education is stronger than ever in the new economy. Lastly, because the U.S. political system still offers inclusion for legal immigrants, they are becoming more incorporated by both "choice" and "coercion."

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 334g
    • Untertitel By Distinguishing Legal Status and Admission Criteria
    • Autor Long Le
    • Titel Measuring U.S. Immigration
    • Veröffentlichung 14.10.2010
    • ISBN 3843362106
    • Format Kartonierter Einband
    • EAN 9783843362108
    • Jahr 2010
    • Größe H220mm x B150mm x T13mm
    • Anzahl Seiten 212
    • GTIN 09783843362108

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