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Does Science Advance One Funeral at a Time?

Author

Listed:
  • Pierre Azoulay
  • Christian Fons-Rosen
  • Joshua S. Graff Zivin

Abstract

We study the extent to which eminent scientists shape the vitality of their areas of scientific inquiry by examining entry rates into the subfields of 452 academic life scientists who pass away prematurely. Consistent with previous research, the flow of articles by collaborators into affected fields decreases precipitously after the death of a star scientist. In contrast, we find that the flow of articles by non-collaborators increases by 8.6% on average. These additional contributions are disproportionately likely to be highly cited. They are also more likely to be authored by scientists who were not previously active in the deceased superstar's field. Intellectual, social, and resource barriers all impede entry, with outsiders only entering subfields that offer a less hostile landscape for the support and acceptance of “foreign” ideas. Overall, our results suggest that once in control of the commanding heights of their fields, star scientists tend to hold on to their exalted position a bit too long.

Suggested Citation

  • Pierre Azoulay & Christian Fons-Rosen & Joshua S. Graff Zivin, 2015. "Does Science Advance One Funeral at a Time?," NBER Working Papers 21788, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21788
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    References listed on IDEAS

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    1. Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2011. "Incentives and creativity: evidence from the academic life sciences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 527-554, September.
    2. Xavier Jaravel & Neviana Petkova & Alex Bell, 2018. "Team-Specific Capital and Innovation," American Economic Review, American Economic Association, vol. 108(4-5), pages 1034-1073, April.
    3. Nagaoka, Sadao & Owan, Hideo, 2014. "Author ordering in scientific research: evidence from scientists survey in the US and Japan," IIR Working Paper 13-23, Institute of Innovation Research, Hitotsubashi University.
    4. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
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    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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