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Research Productivity in a System of Universities

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  • James D. Adams
  • Zvi Griliches

Abstract

This paper considers research performance of U.S. universities for eight science fields. At the aggregate level we find that research output follows a constant returns to scale process. However, for individual universities we find evidence of diminishing returns. We offer two explanations for these differing results. First, data errors are more important at the individual level. Second, research spillovers exist between universities and fields that are captured only at the aggregate level.

Suggested Citation

  • James D. Adams & Zvi Griliches, 1998. "Research Productivity in a System of Universities," Annals of Economics and Statistics, GENES, issue 49-50, pages 127-162.
    • Handle: RePEc:adr:anecst:y:1998:i:49-50:p:127-162
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    References listed on IDEAS

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    1. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, June.
    2. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    3. Evenson, Robert E & Kislev, Yoav, 1976. "A Stochastic Model of Applied Research," Journal of Political Economy, University of Chicago Press, vol. 84(2), pages 265-281, April.
    4. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
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    More about this item

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise

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