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Are Those Paid More Really More Productive? The Case of Experience
Abstract
This study uses computerized personnel microdata on the white male managerial and professional employees at a major U.S. corporation to address the following question: Can the additional earnings which are associated with more labor market experience at a point in time really be explained by higher productivity at the same point in time? Our answer to this question, based on both cross-sectional and longitudinal information, is that performance plays a substantially smaller role in explaining cross-sectional experience-earnings differentials and earnings growth than is claimed by those who have adopted the human capital explanation of the experience-earnings profile. This response depends critically on our assumption that the performance ratings which supervisors give to their white male managerial and professional subordinates adequately reflect the subordinates' relative productivity in the year of assessment; we present a great deal of evidence which strongly supports this assumption.
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Citations
Cited by
The Provision of Incentives in Firms
Prendergast, C. (1999) · Journal of Economic Literature · doi:10.1257/jel.37.1.7 · Cited by 3,338
The Consequences of the Dependence of Quality on Price
Stiglitz, J. E. (1987) · Journal of Economic Literature · doi:10.7916/d8348wdh · Cited by 958
Gender, Race, and Meritocracy in Organizational Careers
Castilla, E. J. (2008) · American Journal of Sociology · doi:10.1086/588738 · Cited by 717
Experience, Performance, and Earnings
Medoff, J. L., & Abraham, K. G. (1980) · The Quarterly Journal of Economics · doi:10.2307/1885488 · Cited by 654
Self-citationBaker, G., Gibbs, M., & Holmstrom, B. (1994) · The Quarterly Journal of Economics · doi:10.2307/2118352 · Cited by 629
Metadata
- Authors
- Medoff, J. L., & Abraham, K. G.
- Venue
- The Journal of Human Resources
- Publisher
- JSTOR
- Published
- 1981
- Volume
- 16
- Issue
- 2
- Pages
- 186
- ISSN
- 0022-166X (ISSN-L)
- OpenAlex
- W1508958356
- Cited by
- 363
- References
- 0
- FWCI
- 32.33
- 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.