The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cross‐country Inequality Trends
Open accessAbstract
The economics profession has made considerable progress in understanding the increase in wage inequality in the U.S. and the UK over the past several decades, but currently lacks a consensus on why inequality did not increase, or increased much less, in (continental) Europe over the same time period.I review the two most popular explanations for these differential trends: that relative supply of skills increased faster in Europe, and that European labor market institutions prevented inequality from increasing.I argue that these two explanations go some way towards accounting for the differential cross-country inequality trends, but do not provide an entirely satisfactory explanation.In addition, it appears that relative demand for skills increased differentially across countries.Motivated by this reasoning, I develop a simple theory where labor market institutions creating wage compression in Europe also encourage more investment in technologies increasing the productivity of less-skilled workers, thus implying less skill-biased technical change in Europe than in the U.S.
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
Berman, E., Bound, J., & Griliches, Z. (1994) · The Quarterly Journal of Economics · doi:10.2307/2118467 · Cited by 1,870 · cited 1×
“…rose because the relative demand for skills increased faster than the relative supply, most likely due to rapid skill-biased technical change and perhaps also due to increased international trade, for example, Katz and Murphy (1992), Berman et al. (1994), Katz and Autor (1999), Acemoglu (2002a).”
Technical change, inequality, and the labor market
Acemoglu, D. (2002) · Journal of Economic Literature · doi:10.1257/jel.40.1.7 · Cited by 1,767
Jovanovic, B., & Rousseau, P. L. (2005) · Handbook of Economic Growth · doi:10.1016/s1574-0684(05)01018-x · Cited by 708
Cited by
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2011) · Handbook of Labor Economics · doi:10.1016/s0169-7218(11)02410-5 · Cited by 3,799
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2010) · doi:10.3386/w16082 · Cited by 2,180
Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure
Spitz‐Oener, A. (2006) · Journal of Labor Economics · doi:10.1086/499972 · Cited by 1,241
When Does Labor Scarcity Encourage Innovation?
Acemoglu, D. (2010) · Journal of Political Economy · doi:10.1086/658160 · Cited by 375
Self-citationHills, J. (2004) · doi:10.1093/0199276641.001.0001 · Cited by 266
Metadata
- Authors
- Acemoglu, D.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-02-01
- Volume
- 113
- Issue
- 485
- Pages
- F121-F149
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2325909280
- Cited by
- 413
- References
- 4
- FWCI
- 62.22
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cross‐country Inequality Trends. https://app.cochat.ai/papers/10.1111/1468-0297.00100
- The paper
- Acemoglu, D. (2003). Cross‐country Inequality Trends. The Economic Journal. https://doi.org/10.1111/1468-0297.00100
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.