The great divide in scientific productivity: why the average scientist does not exist
Using a panel of individual researchers at the KU Leuven, Belgium, we analyze the impact of a range of productivity drivers on research performance at the separate quantiles of the productivity distribution. We estimate a correlated random-effects quantile regression model, accounting for unobserved heterogeneity of researchers and applicable to count data. We find that the effect of most regressors, particularly system-factors incentivizing researchers (like promotion record and access to research resources), as well as the gender of the researcher differ significantly at different points in the distribution, yielding strong support for our quantile regression approach. Comparing publications versus citations as dimensions of research performance, we find the incentive factors to work stronger in affecting research quality. Finally, the split-sample regression results emphasize the heterogeneity across scientific disciplines. Copyright 2011 The Author 2011. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 20 (2011)
Issue (Month): 1 (February)
|Contact details of provider:|| Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK|
Fax: 01865 267 985
Web page: http://icc.oupjournals.org/
|Order Information:||Web: http://www.oup.co.uk/journals|
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.:
- Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
- Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- 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.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521608275, October.
- Kelchtermans, Stijn & Veugelers, Reinhilde, 2005. "Top Research Productivity and its Persistence," CEPR Discussion Papers 5415, C.E.P.R. Discussion Papers.
- Fitzenberger, Bernd & Beck, Martin, 2003.
"Changes in Union Membership Over Time: A Panel Analysis for West Germany,"
ZEW Discussion Papers
03-42, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Martin Beck & Bernd Fitzenberger, 2004. "Changes in Union Membership Over Time: A Panel Analysis for West Germany," LABOUR, CEIS, vol. 18(3), pages 329-362, 09.
- Machado, Jose A.F. & Silva, J. M. C. Santos, 2005.
"Quantiles for Counts,"
Journal of the American Statistical Association,
American Statistical Association, vol. 100, pages 1226-1237, December.
- Paula E. Stephan, 1996.
"The Economics of Science,"
Journal of Economic Literature,
American Economic Association, vol. 34(3), pages 1199-1235, September.
- Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999.
"Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data,"
Department of Economics, Working Papers
016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
- Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
- Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
- Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
When requesting a correction, please mention this item's handle: RePEc:oup:indcch:v:20:y:2011:i:1:p:295-336. 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: (Oxford University Press)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.