The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Swimming Upstream: Trends in the Gender Wage Differential in the 1980s
Open accessAbstract
Using Michigan Panel Study of Income Dynamics data for 1979 and 1988, we analyze how a falling gender wage gap occurred despite changes in wage structure unfavorable to low-wage workers. The decrease is traced to "gender-specific" factors which more than counterbalanced changes in measured and unmeasured prices working against women. Supply shifts net of demand were unfavorable for women generally and hurt high-skilled more than middle- and low-skilled women. By analyzing wages, we find support for the notion of a gender twist in supply and demand having its largest negative effect on high-skilled women.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Changes in Relative Wages, 1963-1987: Supply and Demand Factors
Katz, L. F., & Murphy, K. M. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118323 · Cited by 4,793
Cited by
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2010) · doi:10.3386/w16082 · Cited by 2,180
The Quiet Revolution That Transformed Women's Employment, Education, and Family
Goldin, C. (2006) · American Economic Review · doi:10.1257/000282806777212350 · Cited by 1,831
Skill‐Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles
Card, D., & DiNardo, J. E. (2002) · Journal of Labor Economics · doi:10.1086/342055 · Cited by 1,714
Chapter 48 Race and gender in the labor market
Altonji, J. G., & Blank, R. M. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)30039-0 · Cited by 981
The Gender Pay Gap: Have Women Gone as Far as They Can?
Blau, F. D., & Kahn, L. M. (2007) · Academy of Management Perspectives · doi:10.5465/amp.2007.24286161 · Cited by 554
Self-citationEvidence on Discrimination in Employment: Codes of Color, Codes of Gender
Darity, W. A., & Mason, P. L. (1998) · Journal of Economic Perspectives · doi:10.1257/jep.12.2.63 · Cited by 533
Divergent Paths: A New Perspective on Earnings Differences Between Black and White Men Since 1940
Bayer, P., & Charles, K. K. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjy003 · Cited by 217
Datta Gupta, N., Smith, N., & Verner, M. (2008) · Review of Economics of the Household · doi:10.1007/s11150-007-9023-0 · Cited by 206
Why Do Women Wait? Matching, Wage Inequality, and the Incentives for Fertility Delay
Caucutt, E. M., Guner, N., & Knowles, J. (2002) · Review of Economic Dynamics · doi:10.1006/redy.2002.0190 · Cited by 198
Examining the gender wealth gap
Sierminska, E. M., Frick, J. R., & Grabka, M. M. (2010) · Oxford Economic Papers · doi:10.1093/oep/gpq007 · Cited by 152
Trends in the Gender Earnings Differential in Urban China, 1988–2004
Zhang, J., Han, J., Liu, P.-W., & Zhao, Y. (2008) · ILR Review · doi:10.1177/001979390806100205 · Cited by 147
Schaerer, M., du Plessis, C., Nguyen, M. H. B., van Aert, R. C. M., Tiokhin, L., Lakens, D., Giulia Clemente, E., Pfeiffer, T., Dreber, A., Johannesson, M., et al. (2023) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2023.104280 · Cited by 87
Self-Esteem, Education, and Wages Revisited
de Araujo, P., & Lagos, S. (2013) · Journal of Economic Psychology · doi:10.1016/j.joep.2012.12.001 · Cited by 63
Skills, the gender wage gap, and cities
Bacolod, M. (2017) · Journal of Regional Science · doi:10.1111/jors.12285 · Cited by 40
(2002) · RePEc: Research Papers in Economics · Cited by 36
Benefit Inequality among American Workers by Gender, Race, and Ethnicity, 1982-2015
Kristal, T., Cohen, Y., & Navot, E. (2018) · Sociological Science · doi:10.15195/v5.a20 · Cited by 32
Metadata
- Authors
- Blau, F. D., & Kahn, L. M.
- Venue
- Journal of Labor Economics
- Publisher
- University of Chicago Press
- Published
- 1997-01
- Volume
- 15
- Issue
- 1, Part 1
- Pages
- 1-42
- ISSN
- 0734-306X (ISSN-L)
- 1537-5307
- OpenAlex
- W2082574861
- Cited by
- 754
- References
- 1
- FWCI
- 64.86
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.