IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_8023.html
   My bibliography  Save this paper

Using Archetypoid Analysis to Classify Institutions and Faculties of Economics

Author

Listed:
  • Klaus Wohlrabe
  • Sabine Gralka

Abstract

We use archetypoid analysis as a new tool to categorize institutions and faculties of economics. The approach identifies typical characteristics of extreme (archetypal) values in a multivariate data set. Each entity under investigation is assigned relative shares of the identified archetypoid, which show the affiliation of the entity to the archetypoid. In contrast to its predecessor, the archetypal analysis, archetypoids always represent actual observed units in the data. The approach therefore allows to classify institutions in a rarely used way. While the method has been recognized in the literature, it is the first time that it is used in higher education research and as in our case for institutions and faculties of economics. Our dataset contains seven bibliometric indicators for 298 top-level institutions obtained from the RePEc database. We identify three archetypoids, which are characterized as the top-, the low- and the medium-performer. We discuss the assignment of shares of the identified archetypoids to the institutions in detail. As a sensitivity analysis we show how the classification changes when for four and five archetypoids are considered.

Suggested Citation

  • Klaus Wohlrabe & Sabine Gralka, 2019. "Using Archetypoid Analysis to Classify Institutions and Faculties of Economics," CESifo Working Paper Series 8023, CESifo.
    • Handle: RePEc:ces:ceswps:_8023
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8023.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, vol. 1(3), pages 1-32, December.
    2. 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.
    3. Worthington, Andrew C. & Higgs, Helen, 2014. "Economies of scale and scope in Australian urban water utilities," Utilities Policy, Elsevier, vol. 31(C), pages 52-62.
    4. Rolf Sternberg & Timo Litzenberger, 2005. "The publication and citation output of German Faculties of Economics and Social Sciences - a comparison of faculties and disciplines based upon SSCI data," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 29-53, October.
    5. Hsieh, Chih-Sheng & König, Michael D. & Liu, Xiaodong & Zimmermann, Christian, 2018. "Superstar Economists: Coauthorship Networks and Research Output," IZA Discussion Papers 11916, Institute of Labor Economics (IZA).
    6. Gnewuch, Matthias & Wohlrabe, Klaus, 2018. "Super-efficiency of education institutions: an application to economics departments," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26, pages 610-623.
    7. 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.
    8. Sabine Gralka & Klaus Wohlrabe & Lutz Bornmann, 2018. "How to Measure Research Efficiency in Higher Education? Research Grants vs. Publication Output," CESifo Working Paper Series 7055, CESifo.
    9. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    10. Ellen Hazelkorn, 2007. "The Impact of League Tables and Ranking Systems on Higher Education Decision Making," Higher Education Management and Policy, OECD Publishing, vol. 19(2), pages 1-24.
    11. Geraint Johnes & Jill Johnes, 2016. "Costs, efficiency, and economies of scale and scope in the English higher education sector," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 32(4), pages 596-614.
    12. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    13. Epifanio, Irene, 2016. "Functional archetype and archetypoid analysis," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 24-34.
    14. Bolli, Thomas & Olivares, Maria & Bonaccorsi, Andrea & Daraio, Cinzia & Aracil, Adela Garcia & Lepori, Benedetto, 2016. "The differential effects of competitive funding on the production frontier and the efficiency of universities," Economics of Education Review, Elsevier, vol. 52(C), pages 91-104.
    15. Seiler, Christian & Wohlrabe, Klaus, 2013. "Archetypal scientists," Journal of Informetrics, Elsevier, vol. 7(2), pages 345-356.
    16. Sabine Gralka, 2018. "Persistent inefficiency in the higher education sector: evidence from Germany," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 373-392, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sabine Gralka & Klaus Wohlrabe, 2022. "Classifying top economists using archetypoid analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1342-1346, August.
    2. Klaus Wohlrabe & Constantin Bürgi, 2021. "What is the benefit from publishing a working paper in a journal in terms of citations? Evidence from economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4701-4714, June.
    3. Alexandra Baumann & Klaus Wohlrabe, 2020. "Where have all the working papers gone? Evidence from four major economics working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2433-2441, September.
    4. Piotr Śpiewanowski & Oleksandr Talavera, 2021. "Journal rankings and publication strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3227-3242, April.
    5. Denitsa Angelova & Maya Göser & Stefan Wimmer & Johannes Sauer, 2021. "How efficient are German life sciences? Econometric evidence from a latent class stochastic output distance model," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-20, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    2. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    3. Sabine Gralka & Klaus Wohlrabe, 2022. "Classifying top economists using archetypoid analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1342-1346, August.
    4. Alexandra Baumann & Klaus Wohlrabe, 2020. "Where have all the working papers gone? Evidence from four major economics working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2433-2441, September.
    5. Moliner, Jesús & Epifanio, Irene, 2019. "Robust multivariate and functional archetypal analysis with application to financial time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 195-208.
    6. Klaus Wohlrabe & Sabine Gralka & Lutz Bornmann, 2019. "Zur Effizienz deutscher Universitäten und deren Entwicklung zwischen 2004 und 2015," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(21), pages 15-21, November.
    7. Klaus Wohlrabe & Lutz Bornmann, 2022. "Alphabetized co-authorship in economics reconsidered," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2173-2193, May.
    8. Cantner, Uwe & Grashof, Nils & Grebel, Thomas & Zhang, Xijie, 2023. "When Excellence is not Excellent: The Impact of the Excellence Initiative on the Relative Productivity of German Universities," MPRA Paper 118139, University Library of Munich, Germany.
    9. Tommaso Agasisti & Sabine Gralka, 2019. "The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 51(46), pages 5012-5030, October.
    10. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    11. Herberholz, Lars & Wigger, Berthold U., 2021. "Efficiency of European universities: A comparison of peers," Research Policy, Elsevier, vol. 50(9).
    12. Fu, Tsu-Tan & See, Kok Fong, 2022. "An integrated analysis of quality and productivity growth in China’s and Taiwan’s higher education institutions," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 234-249.
    13. 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.
    14. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2020. "Do Merger Policies Increase University Efficiency? Evidence From A Fuzzy Regression Discontinuity Design," HSE Working papers WP BRP 226/EC/2020, National Research University Higher School of Economics.
    15. Degl’Innocenti, Marta & Matousek, Roman & Tzeremes, Nickolaos G., 2019. "The interconnections of academic research and universities’ “third mission”: Evidence from the UK," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    16. Matthias Gnewuch & Klaus Wohlrabe, 2018. "Die (Super-)Effizienz von volkswirtschaftlichen Fakultäten," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(15), pages 30-34, August.
    17. Püttmann, Vitus & Thomsen, Stephan L. & Trunzer, Johannes, 2020. "Zur Relevanz von Ausstattungsunterschieden für Forschungsleistungsvergleiche: Ein Diskussionsbeitrag für die Wirtschaftswissenschaften in Deutschland," Hannover Economic Papers (HEP) dp-679, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Mar 2021.
    18. María Victoria Anauati & Sebastian Galiani & Ramiro H. Gálvez, 2020. "Differences In Citation Patterns Across Journal Tiers: The Case Of Economics," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1217-1232, July.
    19. Simona Malovaná & Martin Hodula & Zuzana Gric, 2024. "Researching the Research: A Central Banking Edition," International Journal of Central Banking, International Journal of Central Banking, vol. 20(1), pages 263-323, February.
    20. Bornmann, Lutz & Gralka, Sabine & Anegón, Félix de Moya & Wohlrabe, Klaus, 2023. "Efficiency of universities and research-focused institutions worldwide: The introduction of a new input indicator reflecting institutional staff numbers," Journal of Informetrics, Elsevier, vol. 17(2).

    More about this item

    Keywords

    archetypoid analysis; classification; RePEc; faculty of economics; economic institutions;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_8023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.