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 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.
Volume (Year): 16 (2007)
Issue (Month): 2 ()
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- 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.
- Paula E. Stephan, 1996.
"The Economics of Science,"
Journal of Economic Literature,
American Economic Association, vol. 34(3), pages 1199-1235, September.
- R. E. Hall, 1968. "Technical Change and Capital from the Point of View of the Dual," Review of Economic Studies, Oxford University Press, vol. 35(1), pages 35-46.
- 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.
- 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.
- 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.
- 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.
- Ashish Arora & Alfonso Gambardella, 1996. "Reputation and competence in publicly funded scientific research," Industrial Organization 9605002, EconWPA.
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