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Long-term Effects from Early Exposure to Research: Evidence from the NIH "Yellow Berets''

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Listed:
  • Pierre Azoulay
  • Wesley H. Greenblatt
  • Misty L. Heggeness

Abstract

Can a relatively short but intense exposure to frontier research alter the career trajectories of potential innovators? To answer this question, we study the careers and productivity of 3,075 medical school graduates who applied to the Associate Training Programs (ATP) of the National Institutes of Health (NIH) during the turbulent period of the Vietnam War, 1965- 1975. Carefully selecting on observables, we compare physicians who attended the program to those who passed a first admission screen but were ultimately not selected. We find that program participants were twice as likely to choose a research-focused position after training, and considerably less likely to switch to purely clinical endeavors as their careers unfolded. Over the life cycle, NIH trainees also garnered publications, citations, and grant funding at a much higher rate than synthetic controls, and went on to mentor more trainees who them- selves became successful researchers. The direction of their research efforts was durably imprinted by their training experience. In particular, NIH trainees appear to have acquired a distinct “translational” style of biomedical research which became an implicit training model for physician-scientists as ATP alumni came to occupy the commanding heights of academic medicine throughout the United States.

Suggested Citation

  • Pierre Azoulay & Wesley H. Greenblatt & Misty L. Heggeness, 2019. "Long-term Effects from Early Exposure to Research: Evidence from the NIH "Yellow Berets''," NBER Working Papers 26069, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26069
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    2. Benjamin F. Jones & Lawrence H. Summers, 2020. "A Calculation of the Social Returns to Innovation," NBER Chapters, in: Innovation and Public Policy, pages 13-59, National Bureau of Economic Research, Inc.
    3. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
    4. Wei Yang Tham & Joseph Staudt & Elisabeth Ruth Perlman & Stephanie D. Cheng, 2024. "Scientific Talent Leaks Out of Funding Gaps," Papers 2402.07235, arXiv.org.
    5. Yi, Guanting, 2025. "Health insurance expansion and academic production: The case of Medicare Part D legislation," Social Science & Medicine, Elsevier, vol. 367(C).
    6. Yu Cao & Francesca de Nicola & Aaditya Mattoo & Jonathan David Timmis, 2024. "Technological Decoupling ? The Impact on Innovation of US Restrictions on Chinese Firms," Policy Research Working Paper Series 10950, The World Bank.
    7. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Working Papers 26889, National Bureau of Economic Research, Inc.
    8. Ina Ganguli & Fabian Waldinger, 2024. "War and Science in Ukraine," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 3(1), pages 165-188.
    9. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Chapters, in: Innovation and Public Policy, pages 117-150, National Bureau of Economic Research, Inc.
    10. Stavropoulou, Charitini & Viney, Ian, 2025. "Transitioning to independence in medical research: A qualitative study using a systems theory perspective," Research Policy, Elsevier, vol. 54(1).

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    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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