How to Assess the Transferability of Worker Skills: A Hybrid Clustering Approach
Christelle Khalaf,
Gilbert Michaud and
G. Jason Jolley
Journal of Regional Analysis and Policy, 2021, vol. 51, issue 01
Abstract:
Skillshed analyses can help regional economies circumvent future skills gaps. In this paper, we employ a method to assess the skills of displaced workers using occupational clustering, which groups individuals with similar skillsets. We first use Ward's hierarchical agglomerative cluster algorithm, which partitions occupations into mutually exclusive subsets. We supplement this approach with fuzzy clustering techniques, as relying exclusively on Ward's method omits potential career substitutes. Finally, we employ visual tools to present the dissimilarity measure, or skills gap, to help displaced workers and workforce development practitioners connect current competencies to new career opportunities.
Keywords: Labor and Human Capital; Teaching/Communication/Extension/Profession (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/339948/files/Khalaf.pdf (application/pdf)
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:ags:jrapmc:339948
DOI: 10.22004/ag.econ.339948
Access Statistics for this article
More articles in Journal of Regional Analysis and Policy from Mid-Continent Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().