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Within- and between-department variability in individual productivity: the case of economics

Author

Listed:
  • Antonio Perianes-Rodriguez

    (Universidad Carlos III)

  • Javier Ruiz-Castillo

    (Universidad Carlos III)

Abstract

In the social sciences, university departments are the governance units where the demand for and the supply of researchers interact. As a first step towards a formal model of this process, this paper investigates the characteristics of productivity distributions in a unique dataset consisting of 2,530 faculty members with at least one publication who were working in the 81 top world Economics departments in 2007. Individual productivity is measured in two ways: as the number of publications up to 2007, and as a quality index that weights differently the articles published in four journal equivalent classes. The academic age of individuals, measured as the number of years since obtaining a Ph.D. up to 2007, is used to measure productivity per year. Independently of the two productivity measures, and both before and after age normalization, the five main findings of the paper are the following. Firstly, individuals within each department have very different productivities. Secondly, there is not a single pattern of productivity inequality and skewness at the department level. On the contrary, productivity distributions are very different across departments. Thirdly, the effect on overall productivity inequality of differences in productivity distributions between departments is greater than the analogous effect in other contexts. Fourth, to a large extent, this effect on overall productivity inequality is accounted for by scale factors well captured by departments’ mean productivities. Fifth, this high degree of departmental heterogeneity is found to be compatible with greater homogeneity across the members of a partition of the sample into seven countries and a residual category.

Suggested Citation

  • Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2015. "Within- and between-department variability in individual productivity: the case of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1497-1520, February.
    • Handle: RePEc:spr:scient:v:102:y:2015:i:2:d:10.1007_s11192-014-1449-6
    DOI: 10.1007/s11192-014-1449-6
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    References listed on IDEAS

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    1. Li, Yunrong & Ruiz-Castillo, Javier, 2013. "The comparison of normalization procedures based on different classification systems," Journal of Informetrics, Elsevier, vol. 7(4), pages 945-958.
    2. Albarrán, Pedro & Carrasco, Raquel & Ruiz-Castillo, Javier, 2014. "The elite in economics," UC3M Working papers. Economics we1414, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Juan A. Crespo & Neus Herranz & Yunrong Li & Javier Ruiz-Castillo, 2014. "The effect on citation inequality of differences in citation practices at the web of science subject category level," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(6), pages 1244-1256, June.
    4. Pedro Albarrán & Javier Ruiz‐Castillo, 2011. "References made and citations received by scientific articles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 40-49, January.
    5. Ruiz-Castillo, Javier, 2013. "The comparison of classification-system-based normalization procedures with source normalization alternatives in Waltman and Van Eck (2013)," UC3M Working papers. Economics we1318, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Andrew J. Oswald, 2007. "An Examination of the Reliability of Prestigious Scholarly Journals: Evidence and Implications for Decision‐Makers," Economica, London School of Economics and Political Science, vol. 74(293), pages 21-31, February.
    7. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
    8. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    9. Ruiz-Castillo, Javier & Costas, Rodrigo, 2014. "The skewness of scientific productivity," Journal of Informetrics, Elsevier, vol. 8(4), pages 917-934.
    10. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    11. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    12. Raquel Carrasco & Javier Ruiz-Castillo, 2014. "The Evolution Of The Scientific Productivity Of Highly Productive Economists," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 1-16, January.
    13. Kalaitzidakis, P. & Mamuneas, T.P. & Stengos, T., 2003. "Rankings of Academic Journals and Institutions," Working Papers 2003-8, University of Guelph, Department of Economics and Finance.
    14. Kim, Tae-Hwan & White, Halbert, 2004. "On more robust estimation of skewness and kurtosis," Finance Research Letters, Elsevier, vol. 1(1), pages 56-73, March.
    15. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2003. "Rankings of Academic Journals and Institutions in Economics," Journal of the European Economic Association, MIT Press, vol. 1(6), pages 1346-1366, December.
    16. Tommaso Agasisti & Giuseppe Catalano & Paolo Landoni & Roberto Verganti, 2012. "Evaluating the performance of academic departments: an analysis of research-related output efficiency," Research Evaluation, Oxford University Press, vol. 21(1), pages 2-14, February.
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    2. Ruiz-Castillo, Javier & Costas, Rodrigo, 2018. "Individual and field citation distributions in 29 broad scientific fields," Journal of Informetrics, Elsevier, vol. 12(3), pages 868-892.
    3. Lindahl, Jonas, 2023. "Conscientiousness predicts doctoral students’ research productivity," Journal of Informetrics, Elsevier, vol. 17(1).
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    5. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

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