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Classifying Top Economists Using Archetypoid Analysis

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  • Sabine Gralka
  • Klaus Wohlrabe

Abstract

Updating the study by Seiler and Wohlrabe (2013) we use archetypoid analysis to classify top economists. The approach allows us to identify typical characteristics of extreme (archetypal) values in a multivariate data set. In contrast to its predecessor, the archetypal analysis, archetypoids always represent actual observed units in the data. Using bibliometric data from 776 top economists we identify four archetypoids. These types represent solid, low, top and diligent performer. Each economist is assigned to one or more of these archetypoids.

Suggested Citation

  • Sabine Gralka & Klaus Wohlrabe, 2021. "Classifying Top Economists Using Archetypoid Analysis," CESifo Working Paper Series 9216, CESifo.
    • Handle: RePEc:ces:ceswps:_9216
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    References listed on IDEAS

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    1. Lutz Bornmann & Alexander Butz & Klaus Wohlrabe, 2018. "What are the top five journals in economics? A new meta-ranking," Applied Economics, Taylor & Francis Journals, vol. 50(6), pages 659-675, February.
    2. Justus Meyer & Klaus Wohlrabe, 2018. "Standing on the shoulder of giants: the aspect of free-riding in RePEc rankings," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 223-228, February.
    3. Klaus Wohlrabe & Sabine Gralka, 2020. "Using archetypoid analysis to classify institutions and faculties of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 159-179, April.
    4. Vinué, Guillermo & Epifanio, Irene & Alemany, Sandra, 2015. "Archetypoids: A new approach to define representative archetypal data," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 102-115.
    5. Vera Sommer & Klaus Wohlrabe, 2017. "Citations, journal ranking and multiple authorships reconsidered: evidence from almost one million articles," Applied Economics Letters, Taylor & Francis Journals, vol. 24(11), pages 809-814, June.
    6. Katharina Rath & Klaus Wohlrabe, 2016. "Recent trends in co-authorship in economics: evidence from RePEc," Applied Economics Letters, Taylor & Francis Journals, vol. 23(12), pages 897-902, August.
    7. Bloom, Nicholas & Jones, Charles I & Van Reenen, John & Webb, Michael, 2020. "Are ideas getting harder to find?," LSE Research Online Documents on Economics 104481, London School of Economics and Political Science, LSE Library.
    8. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, vol. 1(3), pages 1-32, December.
    9. Sabine Gralka & Klaus Wohlrabe, 2022. "Classifying top economists using archetypoid analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1342-1346, August.
    10. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    11. Seiler, Christian & Wohlrabe, Klaus, 2013. "Archetypal scientists," Journal of Informetrics, Elsevier, vol. 7(2), pages 345-356.
    12. Andrés García-Suaza & Jesús Otero & Rainer Winkelmann, 2020. "Predicting early career productivity of PhD economists: Does advisor-match matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 429-449, January.
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    2. Sabine Gralka & Klaus Wohlrabe, 2022. "Classifying top economists using archetypoid analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1342-1346, August.

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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