The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Trends in U.S. Wage Inequality: Re-Assessing the Revisionists
Open accessAbstract
A large literature documents a substantial rise in U.S. wage inequality and educational wage differentials over the past several decades and finds that these trends can be primarily accounted for by shifts in the supply of and demand for skills reinforced by the erosion of labor market institutions affecting the wages of low- and middle-wage workers. Drawing on an additional decade of data, a number of recent contributions reject this consensus to conclude that (1) the rise in wage inequality was an episodic event of the first-half of the 1980s rather than a secular phenomenon, (2) this rise was largely caused by a falling minimum wage rather than by supply and demand factors; and (3) rising residual wage inequality since the mid-1980s is explained by confounding effects of labor force composition rather than true increases in inequality within detailed demographic groups. We reexamine these claims using detailed data from the Current Population Survey and find only limited support. Although the growth of overall inequality in the U.S. slowed in the 1990s, upper tail inequality rose almost as rapidly during the 1990s as during the 1980s. A decomposition applied to the CPS data reveals large and persistent rise in within-group earnings inequality over the past several decades, controlling for changes in labor force composition. While changes in the minimum wage can potentially account for much of the movement in lower tail earnings inequality, strong time series correlations of the evolution of the real minimum wage and upper tail wage inequality raise questions concerning the causal interpretation of such relationships. We also find that changes in the college/high school wage premium appear to be well captured by standard models emphasizing rapid secular growth in the relative demand for skills and fluctuations in the rate of growth of the relative supply of college workers - though these models do not accurately predict the slowdown in the growth of the college/high-school gap during the 1990s. We conclude that these patterns are not adequately explained by either a 'unicausal' skill-biased technical change explanation or a revisionist hypothesis focused primarily on minimum wages and mechanical labor force compositional effects. We speculate that these puzzles can be partially reconciled by a modified version of the skill-biased technical change hypothesis that generates a polarization of skill demands.
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
Self-citationLabor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach
DiNardo, J., Fortin, N. M., & Lemieux, T. (1996) · Econometrica · doi:10.2307/2171954 · Cited by 2,903
Wage Inequality and the Rise in Returns to Skill
Juhn, C., Murphy, K. M., & Pierce, B. (1993) · Journal of Political Economy · doi:10.1086/261881 · Cited by 2,799
Lousy and Lovely Jobs: The Rising Polarization of Work in Britain
Goos, M., & Manning, A. (2007) · Review of Economics and Statistics · doi:10.1162/rest.89.1.118 · Cited by 2,285
Changes in the Wage Structure and Earnings Inequality
Katz, L. F., & Autor, D. H. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03007-2 · Cited by 2,032
Self-citationComputing inequality: have computers changed the labor market?
Autor, D. H., Katz, L. F., & Krueger, A. B. (1998) · The Quarterly Journal of Economics · doi:10.1162/003355398555874 · Cited by 1,830
Self-citationTechnical change, inequality, and the labor market
Acemoglu, D. (2002) · Journal of Economic Literature · doi:10.1257/jel.40.1.7 · Cited by 1,767
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
Changes in the structure of wages in the 1980's: an evaluation of alternative explanations.
Bound, J., & Johnson, G. E. (1992) · PubMed · Cited by 1,595
Computing Inequality: Have Computers Changed the Labor Market?
Autor, D., Katz, L., & Krueger, A. (1997) · National Bureau of Economic Research · doi:10.3386/w5956 · Cited by 1,586
Self-citation
Cited by
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2010) · doi:10.3386/w16082 · Cited by 2,180
Self-citationThe Race between Education and Technology
(2010) · The Race between Education and Technology · doi:10.2307/j.ctvjf9x5x.11 · Cited by 1,634
Education and Health: Evaluating Theories and Evidence
Cutler, D., & Lleras-Muney, A. (2006) · doi:10.3386/w12352 · Cited by 1,507
Rethinking human capital, creativity and urban growth
Storper, M., & Scott, A. J. (2008) · Journal of Economic Geography · doi:10.1093/jeg/lbn052 · Cited by 983
HECKMAN, J. J. (2008) · Economic Inquiry · doi:10.1111/j.1465-7295.2008.00163.x · Cited by 956
Metadata
- Authors
- Autor, D., Katz, L., & Kearney, M.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2005-09
- OpenAlex
- W2162741948
- Cited by
- 264
- References
- 46
- Type
- report
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Trends in U.S. Wage Inequality: Re-Assessing the Revisionists. https://app.cochat.ai/papers/10.3386/w11627
- The paper
- Autor, D., Katz, L., & Kearney, M. (2005). Trends in U.S. Wage Inequality: Re-Assessing the Revisionists. National Bureau of Economic Research. https://doi.org/10.3386/w11627
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.