Labour market polarisation revisited: evidence from Austrian vacancy data

Laura S. Zilian (), Stella Zilian and Georg Jäger ()
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Laura S. Zilian: University of Graz
Georg Jäger: University of Graz

Journal for Labour Market Research, 2021, vol. 55, issue 1, 1-17

Abstract: Abstract Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.

Keywords: Skill demand; Polarisation; Network analysis; Vacancies; ESCO (search for similar items in EconPapers)
JEL-codes: J24 J63 O15 O33 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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DOI: 10.1186/s12651-021-00290-4

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