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The Matthew Effect Defined And Tested For The 100 Most Prolific Economists

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  • Richard S.J. Tol

    (Economic and Social Research Institute, Dublin, Ireland)

Abstract

The Matthew effect has that often-cited papers/authors are cited more often. I use the statistical theory of the growth of firms to test whether the fame of papers and authors indeed exhibits increasing returns to scale, and confirm this hypothesis for the 100 most prolific economists.

Suggested Citation

  • Richard S.J. Tol, 2007. "The Matthew Effect Defined And Tested For The 100 Most Prolific Economists," Working Papers FNU-143, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2007.
    • Handle: RePEc:sgc:wpaper:143
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    References listed on IDEAS

    as
    1. Marshall H. Medoff, 2006. "The efficiency of self-citations in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 69-84, October.
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    3. 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.
    4. 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.
    5. 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.
    6. Dag W. Aksnes, 2003. "A macro study of self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 235-246, February.
    7. Manfred Bonitz, 2005. "Ten years Matthew effect for countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 375-379, August.
    8. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    2. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Leila Tahmooresnejad & Catherine Beaudry & Andrea Schiffauerova, 2015. "The role of public funding in nanotechnology scientific production: Where Canada stands in comparison to the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 753-787, January.
    4. 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.
    5. Wolfram Elsner & Frederic S. Lee, 2010. "Editors' Introduction," American Journal of Economics and Sociology, Wiley Blackwell, vol. 69(5), pages 1333-1344, November.
    6. Pritchard, Annette & Morgan, Nigel, 2017. "Tourism’s lost leaders: Analysing gender and performance," Annals of Tourism Research, Elsevier, vol. 63(C), pages 34-47.
    7. Wolfram Elsner, 2013. "State and future of the ‘citadel’ and of the heterodoxies in economics: challenges and dangers, convergences and cooperation," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 10(3), pages 286—298-2, December.
    8. 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).
    9. Leo Egghe & Raf Guns & Ronald Rousseau, 2013. "Measuring co-authors’ contribution to an article’s visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 55-67, April.
    10. Tie, Ying & Wang, Zheng, 2022. "Publish or perish? A tale of academic publications in Chinese universities," China Economic Review, Elsevier, vol. 73(C).
    11. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Empirical demonstration of the Matthew effect in scientific research careers," Journal of Informetrics, Elsevier, vol. 17(4).
    12. Lawson, Nicholas, 2023. "What citation tests really tell us about bias in academic publishing," European Economic Review, Elsevier, vol. 158(C).
    13. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
    14. Brooks, Chris & Schopohl, Lisa, 2018. "Topics and trends in finance research: What is published, who publishes it and what gets cited?," The British Accounting Review, Elsevier, vol. 50(6), pages 615-637.
    15. 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.
    16. Dritan Osmani, "undated". "A note on optimal transfer schemes, stable coalition for environmental protection and joint maximization assumption," Working Papers FNU-176, Research unit Sustainability and Global Change, Hamburg University.
    17. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    18. 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.
    19. Mishra, SK, 2010. "Empirical probability distribution of journal impact factor and over-the-samples stability in its estimated parameters," MPRA Paper 20919, University Library of Munich, Germany.

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    More about this item

    Keywords

    Matthew effect; increasing returns to scale; citation analysis;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General

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