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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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  • Hall, Bronwyn H.

    (UNU-MERIT)

  • Mairesse, Jacques

    (UNU-MERIT)

  • Turner, Laure

    (ENSAE)

Abstract

The identification of age, cohort (vintage), and period (year) effects in a panel of individuals or other units is an old problem in the social sciences, but one that has not been much studied in the context of measuring researcher productivity. In the context of a semi-parametric model of productivity where these effects are assumed to enter in an additive manner, we present the conditions necessary to identify and test for the presence of the three effects. In particular we show that failure to specify precisely the conditions under which such a model is identified can lead to misleading conclusions about the productivity-age relationship. We illustrate our methods using data on the publications 1986-1997 by 465 French condensed matter physicists who were born between 1936 and 1960.

Suggested Citation

  • Hall, Bronwyn H. & Mairesse, Jacques & Turner, Laure, 2006. "Identifying Age, Cohort and Period Effects in Scientific Research Productivity - Discussion and Illustration Using Simulated and Actual Data on French Physicists," MERIT Working Papers 2006-042, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2006042
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    File URL: https://unu-merit.nl/publications/wppdf/2006/wp2006-042.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Andrea Bonaccorsi & Cinzia Daraio, 2003. "A robust nonparametric approach to the analysis of scientific productivity," Research Evaluation, Oxford University Press, vol. 12(1), pages 47-69, April.
    4. 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.
    5. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    6. Andrea Bonaccorsi & Cinzia Daraio, 2003. "Age effects in scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 49-90, September.
    7. Caroline Lanciano-morandat & Hiroatsu Nohara, 2003. "The New Production of Young Scientists (PhDs) A Labour Market Analysis in International Perspective," DRUID Working Papers 03-04, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    8. Ashish Arora & Alfonso Gambardella, 1996. "Reputation and competence in publicly funded scientific research," Industrial Organization 9605002, University Library of Munich, Germany.
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    10. R. E. Hall, 1968. "Technical Change and Capital from the Point of View of the Dual," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(1), pages 35-46.
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    More about this item

    Keywords

    scientific productivity; age; identification; panel data; bibliometrics.;
    All these keywords.

    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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