The Effect of Education on Medical Technology Adoption: Are the More Educated More Likely to Use New Drugs
Open accessAbstract
There is a large body of work that documents a strong, positive correlation between education and measures of health, but little is known about the mechanisms by which education might affect health.One possibility is that more educated individuals are more likely to adopt new medical technologies.We investigate this theory by asking whether more educated people are more likely to use newer drugs, while controlling for other individual characteristics, such as income and insurance status.Using the 1997 MEPS, we find that more highly educated people are more likely to use drugs more recently approved by the FDA.We find that education only matters for individuals who repeatedly purchase drugs for a given condition, suggesting that the more educated are better able to learn from experience.
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Highly educated employees tend to adopt new technologies more quickly than less educated employees.
“The study revealed that highly educated employees tend to adopt new technologies more quickly than those who are less educated [75]”
From A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator (2020) · cites this paper as [75]
The Conclusions (page unavailable) report evidence that more educated individuals differ in their adoption of newer prescription drugs. The study concerns drug consumers, not employees adopting technologies generally, and it measures the age of drugs consumed rather than how quickly employees adopt them. (LLM, conf=0.88)
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L'éducation, un levier pour améliorer la santé et la cohésion sociale
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A Theory of Education and HealthPreprint
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- Authors
- Lleras-Muney, A., & Lichtenberg, F.
- Affiliations
- National Bureau of Economic Research (US)
- ORCID
- Lichtenberg, Frank
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2002-09
- OpenAlex
- W1941471126
- Cited by
- 141
- References
- 22
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 2 · 2020: 6 · 2019: 6 · 2018: 7 · 2017: 4 · 2016: 11 · 2015: 12 · 2014: 7 · 2013: 6 · 2012: 3
- Type
- report
- Language
- en
- Open access
- green
- doi.org
- Locations
- National Bureau of Economic Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- National Bureau of Economic Research (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- education, medical technology adoption, prescription drug use, income, experiential learning, Medicare Part D
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.
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