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Incentives and Creativity: Evidence from the Academic Life Sciences

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  • Pierre Azoulay
  • Joshua S. Graff Zivin
  • Gustavo Manso

Abstract

Despite its presumed role as an engine of economic growth, we know surprisingly little about the drivers of scientific creativity. In this paper, we exploit key differences across funding streams within the academic life sciences to estimate the impact of incentives on the rate and direction of scientific exploration. Specifically, we study the careers of investigators of the Howard Hughes Medical Institute (HHMI), which tolerates early failure, rewards long-term success, and gives its appointees great freedom to experiment; and grantees from the National Institute of Health, which are subject to short review cycles, pre-defined deliverables, and renewal policies unforgiving of failure. Using a combination of propensity-score weighting and difference-in-differences estimation strategies, we find that HHMI investigators produce high- impact papers at a much higher rate than a control group of similarly-accomplished NIH-funded scientists. Moreover, the direction of their research changes in ways that suggest the program induces them to explore novel lines of inquiry.

Suggested Citation

  • Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2009. "Incentives and Creativity: Evidence from the Academic Life Sciences," NBER Working Papers 15466, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15466
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    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Philippe Aghion & Mathias Dewatripont & Jeremy C. Stein, 2008. "Academic freedom, private-sector focus, and the process of innovation," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 617-635.
    3. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 331-360.
    6. Edward P. Lazear, 2000. "Performance Pay and Productivity," American Economic Review, American Economic Association, vol. 90(5), pages 1346-1361, December.
    7. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 549-589.
    8. Azoulay, Pierre & Stellman, Andrew & Zivin, Joshua Graff, 2006. "PublicationHarvester: An open-source software tool for science policy research," Research Policy, Elsevier, vol. 35(7), pages 970-974, September.
    9. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    10. Jacob, Brian A. & Lefgren, Lars, 2011. "The impact of research grant funding on scientific productivity," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1168-1177, October.
    11. repec:spr:portec:v:1:y:2002:i:2:d:10.1007_s10258-002-0008-x is not listed on IDEAS
    12. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 1-19.
    13. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    14. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers CWP11/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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