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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

  • Bronwyn Hall

    (Crest)

  • Jacques Mairesse

    (Crest)

  • Laure Turner

    (Crest)

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.

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Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2005-22.

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Length: 32
Date of creation: 2005
Date of revision:
Handle: RePEc:crs:wpaper:2005-22
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  1. Ashish Arora & Alfonso Gambardella, 1996. "Reputation and competence in publicly funded scientific research," Industrial Organization 9605002, EconWPA.
  2. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
  3. Ernst R. Berndt & Zvi Griliches & Neal Rappaport, 1993. "Econometric Estimates of Prices Indexes for Personal Computers in the 1990s," NBER Working Papers 4549, National Bureau of Economic Research, Inc.
  4. Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
  5. 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.
  6. Paula E. Stephan, 1996. "The Economics of Science," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1199-1235, September.
  7. 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 114-32, March.
  8. 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.
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