Classifying top economists using archetypoid analysis

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: CEPIE Working Paper ; No. 01/20

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models ; Analysis of Education ; Higher Education; Research Institutions
• Thema: Archetypoid analysis ; Classification ; RePEc ; economists

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Wohlrabe, Klaus ; Gralka, Sabine Marlene
• Ereignis: Veröffentlichung
• (wer): Technische Universität Dresden, Center of Public and International Economics (CEPIE)
• (wo): Dresden
• (wann): 2020

Weitere Informationen

• Handle: http://hdl.handle.net/10419/215902
• URN: urn:nbn:de:bsz:14-qucosa2-705520
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ