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The Matthew effect for cohorts of economists

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  • Tol, Richard S.J.

Abstract

This paper applies the Ijiri–Simon test for systematic deviations from Gibrat's law to citation numbers of economists. It is found that often-cited researchers attract new citation numbers that are disproportionate to the quality of their work. It is also found that this Matthew effect is stronger for economists who started their academic career earlier.

Suggested Citation

  • Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:2:p:522-527
    DOI: 10.1016/j.joi.2013.02.001
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    1. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, vol. 1(3), pages 1-32, December.
    2. Katz, J. Sylvan, 1999. "The self-similar science system1," Research Policy, Elsevier, vol. 28(5), pages 501-517, June.
    3. Hu, Mao-Bin & Jiang, Rui & Wu, Qing-Song & Wu, Yong-Hong, 2007. "Simulating the wealth distribution with a Richest-Following strategy on scale-free network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 467-472.
    4. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    5. Gonzalez-Brambila, Claudia & Veloso, Francisco M., 2007. "The determinants of research output and impact: A study of Mexican researchers," Research Policy, Elsevier, vol. 36(7), pages 1035-1051, September.
    6. Seiler, Christian & Wohlrabe, Klaus, 2012. "Ranking economists on the basis of many indicators: An alternative approach using RePEc data," Journal of Informetrics, Elsevier, vol. 6(3), pages 389-402.
    7. Ralph Kenna & Bertrand Berche, 2011. "Normalization of peer-evaluation measures of group research quality across academic disciplines," Research Evaluation, Oxford University Press, vol. 20(2), pages 107-116, June.
    8. Hendrik P. van Dalen & Kene Henkens, 2000. "What makes a Scientific Article influential?," Tinbergen Institute Discussion Papers 00-032/1, Tinbergen Institute.
    9. Vincent Larivière & Yves Gingras, 2010. "The impact factor's Matthew Effect: A natural experiment in bibliometrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 424-427, February.
    10. Marshall Medoff, 2006. "Evidence of a Harvard and Chicago Matthew Effect," Journal of Economic Methodology, Taylor & Francis Journals, vol. 13(4), pages 485-506.
    11. Van Looy, Bart & Ranga, Marina & Callaert, Julie & Debackere, Koenraad & Zimmermann, Edwin, 2004. "Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew-effect?," Research Policy, Elsevier, vol. 33(3), pages 425-441, April.
    12. M. V. Simkin & V. P. Roychowdhury, 2005. "Stochastic modeling of citation slips," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(3), pages 367-384, March.
    13. Jeong-Yoo Kim & Insik Min & Christian Zimmermann, 2011. "The Economics of Citation," Korean Economic Review, Korean Economic Association, vol. 27, pages 93-114.
    14. Squazzoni, Flaminio & Gandelli, Claudio, 2012. "Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure," Journal of Informetrics, Elsevier, vol. 6(2), pages 265-275.
    15. Perc, Matjaž, 2010. "Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example," Journal of Informetrics, Elsevier, vol. 4(3), pages 358-364.
    16. van Raan, Anthony F.J., 2001. "Two-step competition process leads to quasi power-law income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 298(3), pages 530-536.
    17. Wallace, Matthew L. & Larivière, Vincent & Gingras, Yves, 2009. "Modeling a century of citation distributions," Journal of Informetrics, Elsevier, vol. 3(4), pages 296-303.
    18. Hendrik P. Van Dalen & Kène Henkens, 2001. "What makes a scientific article influential? The case of demographers," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 455-482, March.
    19. Jean-Yves Lesueur, 2012. "La production scientifique des enseignants-chercheurs en économie. Quelques résultats économétriques issus du dispositif PES," Revue économique, Presses de Sciences-Po, vol. 63(4), pages 743-778.
    20. Thomas Krichel & Christian Zimmermann, 2009. "The Economics of Open Bibliographic Data Provision," Economic Analysis and Policy, Elsevier, vol. 39(1), pages 143-152, March.
    21. De Vany, Arthur S. & Walls, W. David, 2004. "Motion picture profit, the stable Paretian hypothesis, and the curse of the superstar," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1035-1057, March.
    22. David Maddison, 2004. "Increasing returns to information and the survival of broadway theatre productions," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 639-643.
    23. Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
    24. Leo Egghe, 2005. "A characterization of the law of Lotka in terms of sampling," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(3), pages 321-328, March.
    25. Ijiri, Yuji & Simon, Herbert A, 1974. "Interpretations of Departures from the Pareto Curve Firm-Size Distributions," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 315-331, Part I, M.
    26. Anthony F. J. Van Raan, 2001. "Competition amongst scientists for publication status:Toward a model of scientific publication and citation distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 347-357, April.
    27. M.-B. Hu & W.-X. Wang & R. Jiang & Q.-S. Wu & B.-H. Wang & Y.-H. Wu, 2006. "A unified framework for the pareto law and Matthew effect using scale-free networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 53(2), pages 273-277, September.
    28. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
    29. Cecelia Brown, 2004. "The Matthew Effect of the Annual Reviews series and the flow of scientific communication through the World Wide Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 25-30, May.
    30. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    31. Serenko, Alexander & Cox, Raymond A.K. & Bontis, Nick & Booker, Lorne D., 2011. "The superstar phenomenon in the knowledge management and intellectual capital academic discipline," Journal of Informetrics, Elsevier, vol. 5(3), pages 333-345.
    32. De Vany, Arthur S & Walls, W David, 1997. "The Market for Motion Pictures: Rank, Revenue, and Survival," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 783-797, October.
    33. Manfred Bonitz, 2005. "Ten years Matthew effect for countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 375-379, August.
    34. Lydia L. Lange & P. A. Frensch, 1999. "Gaining scientific recognition by position: Does editorship increase citation rates?," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 459-486, March.
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    Cited by:

    1. Daniel Birkmaier & Klaus Wohlrabe, 2014. "Der Matthäus-Effekt in der Ökonomie," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(17), pages 38-42, September.
    2. Lu, Wei & Ren, Yan & Huang, Yong & Bu, Yi & Zhang, Yuehan, 2021. "Scientific collaboration and career stages: An ego-centric perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, vol. 1(3), pages 1-32, December.
    4. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
    5. Carlo D'Ippoliti, 2021. "“Many‐Citedness”: Citations Measure More Than Just Scientific Quality," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1271-1301, December.
    6. Migheli, Matteo & Zotti, Roberto, 2020. "The strange case of the Matthew effect and beauty contests: Research evaluation and specialisation in Italian universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Tie, Ying & Wang, Zheng, 2022. "Publish or perish? A tale of academic publications in Chinese universities," China Economic Review, Elsevier, vol. 73(C).
    8. David I. Stern & Richard S.J. Tol, 2018. "How to Count Citations If You Must: Comment," Working Paper Series 0118, Department of Economics, University of Sussex Business School.
    9. Richard S.J. Tol, 2013. "Measuring catch-up growth in malnourished populations," Working Paper Series 6013, Department of Economics, University of Sussex Business School.
    10. Jacek Bogocz & Andrzej Bak & Jaroslaw Polanski, 2014. "No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 547-568, October.
    11. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & M. Dolores León & Pedro J. Moreno, 2017. "The geography of university scientific production in Europe: an exploration in the field of Food Science and Technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 215-240, July.
    12. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
    13. Tol, Richard S.J., 2013. "Identifying excellent researchers: A new approach," Journal of Informetrics, Elsevier, vol. 7(4), pages 803-810.
    14. David I. Stern & Richard S. J. Tol, 2021. "Depth and breadth relevance in citation metrics," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 961-977, July.
    15. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.

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    Keywords

    Matthew effect;

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics

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