The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Entrepreneurship
Abstract
The theory below is that entrepreneurs must be jacks‐of‐all‐trades who need not excel in any one skill but are competent in many. A model of the choice to become an entrepreneur is presented. The primary implication is that individuals with balanced skills are more likely than others to become entrepreneurs. Using data on Stanford alumni, the predictions are tested and found to hold. Those who have varied work and educational backgrounds are much more likely to start their own businesses than those who have focused on one role at work or concentrated in one subject at school.
Overview
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Citations
Cites
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
Capital is not enough: Innovation in developing economies
Bradley, S. W., McMullen, J. S., Artz, K., & Simiyu, E. M. (2012) · Journal of Management Studies · doi:10.1111/j.1467-6486.2012.01043.x · Cited by 375
The Evaluation of Founder Failure and Success by Hiring Firms: A Field Experiment
Botelho, T. L., & Chang, M. (2023) · Organization Science · doi:10.1287/orsc.2022.1592 · Cited by 37
Entrepreneurial spawning and knowledge-based perspective: A meta-analysis
Garrett, R. P., Miao, C., Qian, S., & Bae, T. J. (2017) · Small Business Economics · doi:10.1007/s11187-017-9842-1 · Cited by 33
Metadata
- Authors
- Lazear, E. P.
- Venue
- Journal of Labor Economics
- Publisher
- University of Chicago Press
- Published
- 2005-10
- Volume
- 23
- Issue
- 4
- Pages
- 649-680
- ISSN
- 0734-306X (ISSN-L)
- 1537-5307
- OpenAlex
- W4254148325
- Cited by
- 857
- References
- 1
- FWCI
- 24.46
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
