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Der Matthäus-Effekt in der Ökonomie

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Listed:
  • Daniel Birkmaier
  • Klaus Wohlrabe

Abstract

Von einem Matthäus-Effekt wird gesprochen, wenn ein Teil des gegenwärtigen Erfolgs auf vergangene Erfolge zurückzuführen ist. Auf die Wissenschaft übertragen, bedeutet dies, dass berühmte Forscher auch deshalb zitiert werden, weil sie berühmt sind. Der vorliegende Beitrag illustriert, wie auf Basis von Zitierungsdaten getestet werden kann, ob ein Wissenschaftler von einem Matthäus-Effekt profitiert oder nicht. Der Test, der für 633 Ökonomen durchgeführt wurde, konnte für 276 Wissenschaftler – darunter auch etliche Ökonomen aus dem deutschsprachigen Raum – einen solchen Effekt feststellen.

Suggested Citation

  • 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.
    • Handle: RePEc:ces:ifosdt:v:67:y:2014:i:17:p:38-42
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    References listed on IDEAS

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    1. Christian Seiler & Klaus Wohlrabe, 2010. "RePEc - an independent platform to measure research output in economics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(07), pages 43-48, April.
    2. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
    3. Jan Eeckhout, 2004. "Gibrat's Law for (All) Cities," American Economic Review, American Economic Association, vol. 94(5), pages 1429-1451, December.
    4. 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.
    5. 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.
    6. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    7. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
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    More about this item

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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