The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The O-Ring Theory of Economic Development
Abstract
This paper proposes a production function describing processes subject to mistakes in any of several tasks. It shows that high-skill workers—those who make few mistakes—will be matched together in equilibrium, and that wages and output will rise steeply in skill. The model is consistent with large income differences between countries, the predominance of small firms in poor countries, and the positive correlation between the wages of workers in different occupations within enterprises. Imperfect observability of skill leads to imperfect matching and thus to spillovers, strategic complementarity, and multiple equilibria in education.
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
Becker, G. S. (1991) · doi:10.4159/9780674020665 · Cited by 10,565
On the Size Distribution of Business Firms
Lucas, R. E. (1978) · The Bell Journal of Economics · doi:10.2307/3003596 · Cited by 3,236
Cited by
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917
The Growing Importance of Social Skills in the Labor Market*
Deming, D. J. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx022 · Cited by 1,727
Entrepreneurship, institutional economics, and economic growth: an ecosystem perspective
Acs, Z. J., Estrin, S., Mickiewicz, T., & Szerb, L. (2018) · Small Business Economics · doi:10.1007/s11187-018-0013-9 · Cited by 582
The present and future of deep learning in radiology
Saba, L., Biswas, M., Kuppili, V., Cuadrado Godia, E., Suri, H. S., Edla, D. R., Omerzu, T., Laird, J. R., Khanna, N. N., Mavrogeni, S., et al. (2019) · European Journal of Radiology · doi:10.1016/j.ejrad.2019.02.038 · Cited by 353
Rajan, R. G., Zingales, L., & Kumar, K. B. (1999) · doi:10.2139/ssrn.170349 · Cited by 309
Metadata
- Authors
- Kremer, M.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1993-08-01
- Volume
- 108
- Issue
- 3
- Pages
- 551-575
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2003214452
- Cited by
- 1,617
- References
- 2
- FWCI
- 21.21
- Type
- journal article
- Language
- en
- Open access
- closed
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.