wow-inequalities/02-data/intermediate/wos_sample/3ca78d4a51861656860fe5f15d5a3201-tesfai-rebbeca/info.yaml

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