The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors
Open accessAbstract
The careers of MBAs from a top US business school are studied to understand how career dynamics differ by gender. Although male and female MBAs have nearly identical earnings at the outset of their careers, their earnings soon diverge, with the male earnings advantage reaching almost 60 log points a decade after MBA completion. Three proximate factors account for the large and rising gender gap in earnings: differences in training prior to MBA graduation, differences in career interruptions, and differences in weekly hours. The greater career discontinuity and shorter work hours for female MBAs are largely associated with motherhood. (JEL J16, J22, J31, J44)
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
Filders, R. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90130-2 · Cited by 16,165
(2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.612 · Cited by 10,902
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
Bertrand, M., & Mullainathan, S. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.422902 · Cited by 1,020
Self-citationWomen Don't Ask: Negotiation and the Gender Divide
Babcock, L., & Laschever, S. (2003) · Princeton University Press eBooks · doi:10.1515/9780691212845 · Cited by 843
Executive Compensation: A New View from a Long-Term Perspective, 1936–2005
Frydman, C., & Saks, R. E. (2010) · Review of Financial Studies · doi:10.1093/rfs/hhp120 · Cited by 604
Bertrand, M., Chugh, D., & Mullainathan, S. (2005) · American Economic Review · doi:10.1257/000282805774670365 · Cited by 562
Self-citationPerformance Pay and Wage Inequality*
Lemieux, T., MacLeod, W. B., & Parent, D. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.1.1 · Cited by 549
The Gender Gap in Early‐Career Wage Growth
Manning, A., & Swaffield, J. (2008) · The Economic Journal · doi:10.1111/j.1468-0297.2008.02158.x · Cited by 339
Early-Career Work Experience and Gender Wage Differentials
Light, A., & Ureta, M. (1995) · Journal of Labor Economics · doi:10.1086/298370 · Cited by 315
Pay Differences among the Highly Paid: The Male-Female Earnings Gap in Lawyers' Salaries
Wood, R. G., Corcoran, M. E., & Courant, P. N. (1993) · Journal of Labor Economics · doi:10.1086/298302 · Cited by 275
Transitions: Career and Family Life Cycles of the Educational Elite
Goldin, C., & Katz, L. F. (2008) · American Economic Review · doi:10.1257/aer.98.2.363 · Cited by 255
Self-citationDiagnosing Discrimination: Stock Returns and Ceo Gender
Wolfers, J. (2006) · Journal of the European Economic Association · doi:10.1162/jeea.2006.4.2-3.531 · Cited by 232
Gender Wage Disparities among the Highly Educated
Black, D. A., Haviland, A. M., Sanders, S. G., & Taylor, L. J. (2008) · Journal of Human Resources · doi:10.1353/jhr.2008.0030 · Cited by 228
Gender Differences in Wage Growth and Job Mobility
Loprest, P. J. (1992) · American Economic Review · Cited by 185
Women-Led Firms and the Gender Gap in Top Executive Jobs
Bell, L. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.773964 · Cited by 180
Leaving science: occupational exit from scientific careers
(2005) · Choice Reviews Online · doi:10.5860/choice.42-2772 · Cited by 132
Does Science Promote Women? Evidence from Academia 1973-2001
Ginther, D. K., & Kahn, S. (2006) · National Bureau of Economic Research · doi:10.3386/w12691 · Cited by 128
Gender Differences in Physician Pay
Sasser, A. C. (2005) · The Journal of Human Resources · doi:10.3368/jhr.xl.2.477 · Cited by 96
Rat race redux: adverse selection in the determination of work hours
Landers, R. M., Rebitzer, J. B., & Taylor, L. J. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 87
Herr, J. L., & Wolfram, C. (2010) · Cited by 19
Cited by
A Grand Gender Convergence: Its Last Chapter
Goldin, C. (2014) · American Economic Review · doi:10.1257/aer.104.4.1091 · Cited by 2,611
Self-citationBeyond the Glass Ceiling: Does Gender Matter?
Adams, R. B., & Funk, P. (2012) · Management Science · doi:10.1287/mnsc.1110.1452 · Cited by 1,537
Children and Gender Inequality: Evidence from Denmark
Kleven, H., Landais, C., & Søgaard, J. E. (2019) · American Economic Journal: Applied Economics · doi:10.1257/app.20180010 · Cited by 1,064
Parenthood and the Gender Gap in Pay
Angelov, N., Johansson, P., & Lindahl, E. (2016) · Journal of Labor Economics · doi:10.1086/684851 · Cited by 556
Gender Differences in Accepting and Receiving Requests for Tasks with Low Promotability
Babcock, L., Recalde, M. P., Vesterlund, L., & Weingart, L. (2017) · American Economic Review · doi:10.1257/aer.20141734 · Cited by 507
Metadata
- Authors
- Bertrand, M., Goldin, C., & Katz, L. F.
- Venue
- American Economic Journal: Applied Economics
- Publisher
- American Economic Association
- Published
- 2010-07-01
- Volume
- 2
- Issue
- 3
- Pages
- 228-255
- ISSN
- 1945-7782 (ISSN-L)
- 1945-7790
- OpenAlex
- W2107338156
- Cited by
- 1,256
- References
- 21
- FWCI
- 91.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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.