The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Intergenerational Correlations in Labor Market Status: A Comparison of the United States and Germany
Open accessAbstract
This paper uses data from the Panel Study of Income Dynamics, and the German Socioeconomic Panel to calculate comparable measures of the intergenerational correlations of earnings, hours, and education in the United States and Germany. Our results indicate that there is remarkable similarity across the two countries in the correlations of earnings and of annual work hours of fathers and sons. All of the correlations which involve women appear to weaker in Germany than the United States, perhaps due to the greater integration of women in the United States into the labor market. We find weak correlations in earnings and work hours for parent-child pairs of different sexes in both countries. We also find intergenerational correlations in educational attainment are considerably stronger 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
Human Capital and the Rise and Fall of Families
Becker, G. S., & Tomes, N. (1986) · Journal of Labor Economics · doi:10.1086/298118 · Cited by 2,913
Cited by
Intergenerational Mobility in the Labor Market
Solon, G. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03010-2 · Cited by 1,109
The Inheritance of Educational Inequality: International Comparisons and Fifty-Year Trends
Hertz, T., Jayasundera, T., Piraino, P., Selcuk, S., Smith, N., & Verashchagina, A. (2008) · The B.E. Journal of Economic Analysis & Policy · doi:10.2202/1935-1682.1775 · Cited by 661
Blanden, J. (2013) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2011.00690.x · Cited by 444
Galton versus the Human Capital Approach to Inheritance
Mulligan, C. B. (1999) · Journal of Political Economy · doi:10.1086/250108 · Cited by 320
Checchi, D., Ichino, A., & Rustichini, A. (1999) · Journal of Public Economics · doi:10.1016/s0047-2727(99)00040-7 · Cited by 306
Neidhöfer, G., & Stockhausen, M. (2019) · Review of Income and Wealth · doi:10.1111/roiw.12364 · Cited by 37
Like (grand)parent, like child? Multigenerational mobility across the EU
Colagrossi, M., d’Hombres, B., & Schnepf, S. V. (2020) · European Economic Review · doi:10.1016/j.euroecorev.2020.103600 · Cited by 22
Metadata
- Authors
- Couch, K. A., & Dunn, T. A.
- Venue
- The Journal of Human Resources
- Publisher
- JSTOR
- Published
- 1997
- Volume
- 32
- Issue
- 1
- Pages
- 210
- ISSN
- 0022-166X (ISSN-L)
- OpenAlex
- W1606583843
- Cited by
- 226
- References
- 1
- FWCI
- 29.04
- 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.
