Analysing elite careers

Jacob Aagaard Lunding, Christoph Houman Ellersgaard, Lasse Folke Henriksen and Anton Grau Larsen

No b8mye, SocArXiv from Center for Open Science

Abstract: In this paper, we propose a methodological framework to analyse cross-sectorial elite career using sequence analysis to identify particular career trajectories. As empirical case, we use 416 members of the Danish power elite, found in the core of the Danish elite networks. We describe how career data can be constructed based on CV’s, how career states can be coded and how sequence analysis in combination with optimal matching and of hierarchical agglomerative clustering can be used to develop typologies of careers.

Date: 2019-03-26
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5c94e80a34062c0019214677/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:b8mye

DOI: 10.31219/osf.io/b8mye

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().