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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.
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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
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
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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.
