Chapter 48 Race and gender in the labor market
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It is difficult to capture the true amount of variance explained by human capital under the decomposition approach, primarily due to omitted variable bias.
“However, it is difficult to capture the true amount of variance explained by human capital under this approach, primarily due to omitted variable bias (Altonji and Blank, 1999;Borjas, 2020).”
From The state of hiring discrimination: A meta-analysis of (almost) all recent correspondence experiments (2023) · cites this paper as Altonji and Blank, 1999
The finding that black-white racial gaps in individual income are substantially larger for men than women is consistent with prior literature showing that black-white wage disparities are smaller for women than men in the cross-section.
“The finding that black-white racial gaps in individual income are substantially larger for men than women is consistent with prior literature showing that black-white wage disparities are smaller for women than men in the cross-section (Darity, Guilkey, and Winfrey 1996; Neal and Johnson 1996; Altonji and Blank 1999; Bayard et al. 1999; Blau 2012).”
From Race and Economic Opportunity in the United States: an Intergenerational Perspective* (2020) · cites this paper as Altonji and Blank 1999
Most empirical research on racial disparities has tested competing theories using cross-sectional data on a single generation of individuals.
“Most empirical research on racial disparities has tested competing theories using cross-sectional data on a single generation of individuals (Altonji and Blank 1999).”
From Race and Economic Opportunity in the United States: an Intergenerational Perspective* (2020) · cites this paper as Altonji and Blank 1999
Cites
Hellerstein, J. K., Neumark, D., & Troske, K. R. (1999) · Journal of Labor Economics · doi:10.1086/209926 · Cited by 411 · see citing works
Does Staying in School Make You Smarter? The Effect of Education on IQ in The Bell Curve
Winship, C., & Korenman, S. (1997) · Intelligence, Genes, and Success · doi:10.1007/978-1-4612-0669-9_10 · Cited by 127 · see citing works
Chay, K. Y. (1998) · ILR Review · doi:10.1177/001979399805100404 · Cited by 120 · see citing works
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Do Women Shy Away From Competition? Do Men Compete Too Much?
Niederle, M., & Vesterlund, L. (2007) · The Quarterly Journal of Economics · doi:10.1162/qjec.122.3.1067 · Cited by 3,186 · see citing works
Race and Economic Opportunity in the United States: an Intergenerational Perspective*
Chetty, R., Hendren, N., Jones, M. R., & Porter, S. R. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjz042 · Cited by 842 · see citing works
Who Gets a Swiss Passport? A Natural Experiment in Immigrant Discrimination
HAINMUELLER, J., & HANGARTNER, D. (2013) · American Political Science Review · doi:10.1017/s0003055412000494 · Cited by 433 · see citing works
Automatic associations and discrimination in hiring: Real world evidence
Rooth, D.-O. (2010) · Labour Economics · doi:10.1016/j.labeco.2009.04.005 · Cited by 413 · see citing works
The impact of diabetes on employment and work productivity
Tunceli, K., Bradley, C. J., Nerenz, D., Williams, L. K., Pladevall, M., & Elston Lafata, J. (2005) · Diabetes Care · doi:10.2337/diacare.28.11.2662 · Cited by 313 · see citing works
Bias in Online Freelance Marketplaces: Evidence from TaskRabbit and Fiverr
Hannák, A., Wagner, C., Garcia, D., Mislove, A., Strohmaier, M., & Wilson, C. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/2998181.2998327 · Cited by 286 · see citing works
Gender differences in competition
Niederle, M., & Vesterlund, L. (2008) · Negotiation Journal · doi:10.1111/j.1571-9979.2008.00197.x · Cited by 120 · see citing works
Ride with Me—Ethnic Discrimination, Social Markets, and the Sharing Economy
Tjaden, J. D., Schwemmer, C., & Khadjavi, M. (2018) · European Sociological Review · doi:10.1093/esr/jcy024 · Cited by 76 · see citing works
Kleven, H., Landais, C., & Leite-Mariante, G. (2025) · Review of Economic Studies · doi:10.1093/restud/rdae104 · Cited by 71 · see citing works
Shaw, D. S., Mendelsohn, A. L., & Morris, P. A. (2021) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-021-00366-0 · Cited by 64 · see citing works
Skills, the gender wage gap, and cities
Bacolod, M. (2017) · Journal of Regional Science · doi:10.1111/jors.12285 · Cited by 40 · see citing works
Li, Y., Graubard, B. I., Huang, P., & Gastwirth, J. L. (2015) · Statistics in Medicine · doi:10.1002/sim.6357 · Cited by 10 · see citing works
Lippens, L., Vermeiren, S., & Baert, S. (2023) · European Economic Review · doi:10.1016/j.euroecorev.2022.104315
- Authors
- Altonji, J. G., & Blank, R. M.
- Affiliations
- Northwestern University (US)
- University of Michigan (US)
- ORCID
- Altonji, Joseph G.
- Venue
- Handbook of Labor Economics
- Publisher
- Elsevier
- Published
- 1999
- Pages
- 3143-3259
- ISSN
- 1573-4463 (ISSN-L)
- OpenAlex
- W1522598817
- Cited by
- 981
- References
- 3
- Citations by year
- 2026: 24 · 2025: 46 · 2024: 55 · 2023: 54 · 2022: 66 · 2021: 64 · 2020: 66 · 2019: 41 · 2018: 76 · 2017: 49 · 2016: 53 · 2015: 35 · 2014: 41 · 2013: 34 · 2012: 40
- FWCI
- 19.59
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Handbook of labour economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Social Sciences › Gender Studies › Labour Market and Migration
- Keywords
- labor market discrimination, taste discrimination, statistical discrimination, Hispanic origin, job characteristics, employee benefits, wage inequality, anti-discrimination policy
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