- Authors
- Dr. Klaus Wohlrabe ifo Institut
- Dr. Sabine GralkaTechnische Universität Dresden
- title
- Classifying top economists using archetypoid analysis
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-705520
- Series
- CEPIE Working Paper
- multivolume_volume0
- 01/20
- issn
- 2510-1196
- Abstract (EN)
- 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.
- Keywords (EN)
- Archetypoid analysis, Classification, RePEc, economists
- Classification (DDC)
- 330
- Classification (RVK)
- QC 000
- university_publisher
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-705520
- Qucosa date of publication
- 17.04.2020
- Document type
- research_paper
- Document language
- English
- licence