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020 ▼a 9781085642972
035 ▼a (MiAaPQ)AAI13884047
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 305
1001 ▼a Samardzic, Diana Pehlic.
24510 ▼a Occupational Segregation and Job Attributes of Native- and Foreign-Born Groups in the U.S. Labor Market.
260 ▼a [S.l.]: ▼b State University of New York at Buffalo., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 188 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
500 ▼a Advisor: Adelman, Robert.
5021 ▼a Thesis (Ph.D.)--State University of New York at Buffalo, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a Labor market segmentation by race, ethnicity, and nativity has long been documented in the social science literature. However, relatively few studies have examined a variety of native- and foreign-born groups under one comparative assessment. I address this research gap by concomitantly examining eight native- and foreign-born, racial and ethnic groups. I measure their occupational segregation in emerging and established immigrant gateways of the United States and their job attributes net of worker characteristics. Thus, this dissertation combines research about occupational segregation, job quality, and immigration for a multi-angle assessment of labor market outcomes in light of labor market segmentation and queue theories. I focus on the racial and ethnic composition of the labor market, the occupational segregation of native- and foreign-born groups in prominent immigrant destinations across the country, and the job attributes associated with each group net of theoretically-relevant worker characteristics. I use 2012-2016 5-year American Community Survey (ACS) data to examine the racial and ethnic composition of the labor market in twenty-three major occupational groups. I measure national- and metropolitan-level occupational segregation of native- and foreign-born groups from native-born whites, and the segregation of foreign-born groups from their native-born counterparts. I also evaluate occupational segregation in established and emerging immigrant gateways. Finally, I merge ACS individual-level data with O*NET occupational data to estimate nested ordinary least squares regression models for the average job attribute index scores of racial and ethnic groups using native-born whites as the reference group. Overall, the findings indicate that there is considerable segmentation of racial and ethnic groups across occupations. Non-Hispanic whites and Asians dominate primary sector jobs at the top of the job queue, Hispanic immigrants are concentrated in the lowest-skilled secondary sector jobs, and blacks and native-born Hispanics are somewhere in the middle of the queue. Results from the occupational segregation analyses show moderate to high segregation of immigrant groups from native-born whites particularly in the West and Southwest regions of the country that have a continuous stream of incoming immigrants. For foreign-born Hispanics, occupational segregation is lowest in the immigrant gateways of Florida. Finally, results from the regression models estimating job attributes of native- and foreign-born groups show that, relative to native-born whites, blacks and Hispanics are employed in occupations with higher average scores of occupational physical and manual demands, higher exposure to job hazards and poor environmental conditions, and lower average scores of desirable work styles and values. While these group differences persist after controlling for worker characteristics, that is, race, ethnicity, and nativity matter a great deal looking across these results, education is a very strong predictor of job attributes. English-language proficiency, citizenship, and gender are also important predictors of job attributes.
590 ▼a School code: 0656.
650 4 ▼a Sociology.
650 4 ▼a Labor economics.
650 4 ▼a Occupational psychology.
650 4 ▼a Ethnic studies.
690 ▼a 0626
690 ▼a 0510
690 ▼a 0631
690 ▼a 0624
71020 ▼a State University of New York at Buffalo. ▼b Sociology.
7730 ▼t Dissertations Abstracts International ▼g 81-03B.
773 ▼t Dissertation Abstract International
790 ▼a 0656
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491338 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK