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Analysing elite careers

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

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.

Suggested Citation

  • Lunding, Jacob Aagaard & Ellersgaard, Christoph Houman & Henriksen, Lasse Folke & Larsen, Anton Grau, 2019. "Analysing elite careers," SocArXiv b8mye, Center for Open Science.
    • Handle: RePEc:osf:socarx:b8mye
    DOI: 10.31219/osf.io/b8mye
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