The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Distributive Justice and Earned Income
Abstract
This is an empirical exploration of the normative criteria for just distributions of earned income. The results indicate that the fairness of earnings is judged relative to a set of criteria which includes (but perhaps is not limited to) formal educational attainment, occupational attainment, sex, marital status and knowledge of family earnings. That is, both merit and need factors combine to produce judgments of fairness and unfairness. These criteria for just earnings appear to be held consensually and are largely independent of the raters' observable demographic attributes.
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Citations
Cites
New directions in equity research.
Walster, E., Berscheid, E., & Walster, G. W. (1973) · Journal of Personality and Social Psychology · doi:10.1037/h0033967 · Cited by 1,649
Cited by
FOUNDATION FOR A GENERAL STRAIN THEORY OF CRIME AND DELINQUENCY*
AGNEW, R. (1992) · Criminology · doi:10.1111/j.1745-9125.1992.tb01093.x · Cited by 5,046
Oliver, R. L., & Swan, J. E. (1989) · Journal of Marketing · doi:10.1177/002224298905300202 · Cited by 2,084
Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2014) · Political Analysis · doi:10.1093/pan/mpt024 · Cited by 1,990
Distributive Justice, Equity, and Equality
Cook, K. S., & Hegtvedt, K. A. (1983) · Annual Review of Sociology · doi:10.1146/annurev.so.09.080183.001245 · Cited by 558
Why Should Women Get Less? Evidence on the Gender Pay Gap from Multifactorial Survey Experiments
Auspurg, K., Hinz, T., & Sauer, C. (2017) · American Sociological Review · doi:10.1177/0003122416683393 · Cited by 269
Metadata
- Authors
- Jasso, G., & Rossi, P. H.
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1977-08
- Volume
- 42
- Issue
- 4
- Pages
- 639
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W2325887684
- Cited by
- 340
- References
- 1
- FWCI
- 24.20
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
