Add wos sample results library
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abstract: 'U.S. immigration policy debates increasingly center on attracting
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highly-skilled immigrants. African immigrants, in particular, exhibit
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high levels of over-education. But questions remain about whether
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African immigrants'' skills are appropriately utilized in the U.S. labour
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market. This paper uses U.S. Census and American Community Survey data
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to determine whether Africans'' over-education leads to a corresponding
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wage disadvantage. I also investigate whether search and match,
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imperfect transferability, or queuing theory describes African
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immigrants'' wage outcomes. I find that, while African and Asian
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immigrants have similarly high rates of college education and
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over-education, Africans experience significantly larger wage
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disadvantages due to over-education. African immigrants'' low wages are
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closer to that of U.S. and Caribbean-born blacks indicating that queuing
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theory describes their wage disadvantage. These findings suggest the
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need for policy addressing racial disparities in the labour market
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rather than new immigration policy.'
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affiliation: 'Tesfai, R (Corresponding Author), Temple Univ, Philadelphia, PA 19122
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USA.
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Tesfai, Rebbeca, Temple Univ, Philadelphia, PA 19122 USA.'
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author: Tesfai, Rebbeca
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author_list:
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- family: Tesfai
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given: Rebbeca
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da: '2023-09-28'
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doi: 10.1111/imig.12352
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eissn: 1468-2435
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files: []
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issn: 0020-7985
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journal: INTERNATIONAL MIGRATION
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keywords-plus: 'OVER-EDUCATION; SAMPLE SELECTION; FOREIGN; ASSIMILATION; INEQUALITY;
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EMPLOYMENT; CANADA; COLOR; BLACK'
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language: English
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month: AUG
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number: '4'
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number-of-cited-references: '68'
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orcid-numbers: Tesfai, Rebbeca/0000-0001-5170-4452
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pages: 203-220
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papis_id: 2cef6aae2ef3675a55d224ce4a3aba85
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ref: Tesfai2017racializedlabour
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times-cited: '11'
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title: Racialized Labour Market Incorporation? African Immigrants and the Role of
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Education-Occupation Mismatch in Earnings
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type: Article
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unique-id: WOS:000405812400016
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usage-count-last-180-days: '0'
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usage-count-since-2013: '9'
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volume: '55'
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web-of-science-categories: Demography
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year: '2017'
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