The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
Fields of Study, College Selectivity, and Student Inequalities in Higher Education
Abstract
Using the National Longitudinal Survey of Youth we examine processes by which students enter lucrative fields of study, selective colleges, and lucrative fields within selective colleges. We code fields by their graduates' average monthly income and use average incoming student's SAT scores to measure selectivity. We find that: (1) males are much more likely to enter fields of study with higher economic returns than are females; (2) socioeconomic factors do not affect chances of entry into lucrative fields net of other background factors, but SES predicts entry into selective colleges and lucrative fields within selective colleges; (3) measured academic ability is an important predictor for all dependent variables.
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Citations
Cites
When Bigger Is Not Better: Family Size, Parental Resources, and Children's Educational Performance
Downey, D. B. (1995) · American Sociological Review · doi:10.2307/2096320 · Cited by 959
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Torche, F. (2011) · American Journal of Sociology · doi:10.1086/661904 · Cited by 587
Equal but Separate? A Cross-National Study of Sex Segregation in Higher Education
Charles, M., & Bradley, K. (2002) · American Sociological Review · doi:10.2307/3088946 · Cited by 491
Not by Productivity Alone: How Visibility and Specialization Contribute to Academic Earnings
Leahey, E. (2007) · American Sociological Review · doi:10.1177/000312240707200403 · Cited by 356
The Impact of Parental Occupation and Socioeconomic Status on Choice of College Major
Leppel, K., Williams, M. L., & Waldauer, C. (2001) · Journal of Family and Economic Issues · doi:10.1023/a:1012716828901 · Cited by 189
University choice: what do we know, what don’t we know and what do we still need to find out?
Hemsley-Brown, J., & Oplatka, I. (2015) · International Journal of Educational Management · doi:10.1108/ijem-10-2013-0150 · Cited by 186
Field of Study in College and Lifetime Earnings in the United States
Kim, C., Tamborini, C. R., & Sakamoto, A. (2015) · Sociology of Education · doi:10.1177/0038040715602132 · Cited by 162
The impact of major on college persistence among freshmen
Leppel, K. (2001) · Higher Education · doi:10.1023/a:1004189906367 · Cited by 123
College Attendance and Choice of College Majors Among Asian‐American Students *
Song, C., & Glick, J. E. (2004) · Social Science Quarterly · doi:10.1111/j.0038-4941.2004.00283.x · Cited by 111
Multiple dimensions of social background and horizontal educational attainment in Sweden
Hällsten, M., & Thaning, M. (2018) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2018.06.005 · Cited by 45
Tracking Health Inequalities from High School to Midlife
Carroll, J. M., Muller, C., Grodsky, E., & Warren, J. R. (2017) · Social Forces · doi:10.1093/sf/sox065 · Cited by 35
Dougherty, K. J. (2024) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/01614681241240287 · Cited by 6
Metadata
- Authors
- Davies, S., & Guppy, N.
- Venue
- Social Forces
- Publisher
- Oxford University Press
- Published
- 1997-06-01
- Volume
- 75
- Issue
- 4
- Pages
- 1417-1417
- ISSN
- 0037-7732 (ISSN-L)
- OpenAlex
- W2081126134
- Cited by
- 502
- References
- 1
- FWCI
- 10.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
