Identifying Age, Cohort and Period Effects in Scientific Research Productivity : Discussion and Illustration Using Simulated and Actual Data on French Physicists
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.
|Date of creation:||2005|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 01 41 17 60 81
Web page: http://www.crest.fr
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984.
"Econometric Models for Count Data with an Application to the Patents-R&D Relationship,"
Econometric Society, vol. 52(4), pages 909-38, July.
- 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.
- 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.
- Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999.
"Individual effects and dynamics in count data models,"
IFS Working Papers
W99/03, Institute for Fiscal Studies.
- 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.
- Ashish Arora & Alfonso Gambardella, 1996. "Reputation and competence in publicly funded scientific research," Industrial Organization 9605002, EconWPA.
- 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.
- 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.
- Paula E. Stephan, 1996. "The Economics of Science," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1199-1235, September.
- 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.
When requesting a correction, please mention this item's handle: RePEc:crs:wpaper:2005-22. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Florian Sallaberry)
If references are entirely missing, you can add them using this form.