The DOI matches its Crossref record.
Investment, Moral Hazard, and Occupational Licensing
Abstract
I analyse occupational licensing as an input regulation that requires minimum levels of human capital investment by professionals. By raising professionals' training levels, licensing helps alleviate moral hazard problems associated with the provision of high quality services. I also consider certification, whereby consumers are provided information about professionals' training levels. I show that licensing and certification tend to benefit consumers who value quality highly at the expense of those who do not. Licensing may raise total surplus if sellers' investments are not observable, but is Pareto-worsening if training levels are observable. Certification may, however, lead to excessive investment as a signalling device, and thus be Pareto Inferior to either licensing or to a policy of laissez-faire.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Occupational licensing could benefit consumers and protect their health and safety through quality improvement.
“Occupational licensing could benefit consumers and protect their health and safety through quality improvement (Kleiner, 2000; Shapiro, 1986).”
From Long-Term Health Benefits of Occupational Licensing: Evidence from Midwifery Laws (2023) · cites this paper as Shapiro, 1986
Licensing requirements could have stimulated the formation of human capital and prevented the least competent midwives from practicing.
“Licensing requirements could have stimulated the formation of human capital and prevented the least competent midwives from practicing (Shapiro 1986).”
From The Effect of Occupational Licensing on Consumer Welfare: Early Midwifery Laws and Maternal Mortality (2016) · cites this paper as Shapiro 1986
Citations
Cited by
Sorted by citations
Analyzing the Extent and Influence of Occupational Licensing on the Labor Market
Kleiner, M. M., & Krueger, A. B. (2013) · Journal of Labor Economics · doi:10.1086/669060 · Cited by 407
Regulating Service Quality: A Survey
Sappington, D. E. M. (2005) · Journal of Regulatory Economics · doi:10.1007/s11149-004-5341-9 · Cited by 191
Occupational Licensing and Maternal Health: Evidence from Early Midwifery Laws
Anderson, D. M., Brown, R., Charles, K. K., & Rees, D. I. (2020) · Journal of Political Economy · doi:10.1086/710555 · Cited by 98
Anderson, D. M., Brown, R., Charles, K. K., & Rees, D. (2016) · National Bureau of Economic Research · doi:10.3386/w22456 · Cited by 19
Long-Term Health Benefits of Occupational Licensing: Evidence from Midwifery Laws
Noghanibehambari, H., & Fletcher, J. (2023) · Journal of Health Economics · doi:10.1016/j.jhealeco.2023.102807 · Cited by 15
Metadata
- Authors
- Shapiro, C.
- Affiliations
- Princeton University (US)
- Corresponding author
- Shapiro, Carl
- ORCID
- Shapiro, Carl
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-10
- Volume
- 53
- Issue
- 5
- Pages
- 843
- ISSN
- 0034-6527 (ISSN-L)
- OpenAlex
- W2046126098
- Cited by
- 338
- References
- 0
- Citations by year
- 2026: 17 · 2025: 8 · 2024: 11 · 2023: 11 · 2022: 19 · 2021: 11 · 2020: 20 · 2019: 18 · 2018: 13 · 2017: 13 · 2016: 12 · 2015: 16 · 2014: 14 · 2013: 15 · 2012: 15
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Review of Economic Studies (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Law › Occupational and Professional Licensing Regulation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Merger and Competition Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Law, Economics, and Judicial Systems
- Keywords
- professional licensing, moral hazard, human capital investment, certification, signaling, consumer surplus, Pareto optimality
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