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Identifying Age, Cohort and Period Effects in Scientific Research Productivity : Discussion and Illustration Using Simulated and Actual Data on French Physicists

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Listed:
  • Bronwyn Hall

    (Crest)

  • Jacques Mairesse

    (Crest)

  • Laure Turner

    (Crest)

Abstract
The identification of age, cohort (vintage), and period (year) effects in a panelof individuals or other units is an old problem in the social sciences, but onethat has not been much studied in the context of measuring researcherproductivity. Considering a semi-parametric model of productivity wherethese effects are assumed to enter in an additive manner, we present theconditions necessary to identify and test for the existence of the three effects.In particular we show that failure to specify precisely the conditions underwhich such a model is identified can lead to misleading conclusions about theproductivity-age relationship. We illustrate our methods using data on thepublications 1986-1997 by 465 French condensed matter physicists who wereborn between 1936 and 1960.

Suggested Citation

  • Bronwyn Hall & Jacques Mairesse & Laure Turner, 2005. "Identifying Age, Cohort and Period Effects in Scientific Research Productivity : Discussion and Illustration Using Simulated and Actual Data on French Physicists," Working Papers 2005-22, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2005-22
    as

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    References listed on IDEAS

    as
    1. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-132, March.
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    6. Ashish Arora & Alfonso Gambardella, 1996. "Reputation and competence in publicly funded scientific research," Industrial Organization 9605002, University Library of Munich, Germany.
    7. Andrea Bonaccorsi & Cinzia Daraio, 2003. "Age effects in scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 49-90, September.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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