Test-based measurement of skill mismatch: a validation of five different measurement approaches using the NEPS

Stephan Bischof ()
Additional contact information
Stephan Bischof: Federal Institute for Population Research

Journal for Labour Market Research, 2024, vol. 58, issue 1, 1-17

Abstract: Abstract Skill mismatch is a key indicator of labour market research that has received significant attention. To date, various approaches of test-based measurement of skill mismatch have been used in research, generating differing results. However, it remains unclear which method is the most valid for measuring skill mismatch. This study provides a comparative validation of five commonly used approaches to test-based measurement of skill mismatches in reading and mathematics to detect the most valid method. Drawing on the 2016 wave of the German National Educational Panel Study (NEPS) Adult Cohort, I find significantly varying distributions for the different measurement approaches, and highly valid skill mismatch measures for the statistical and the mixed approach. Overall, the mixed approach emerges as the most valid method. The findings highlight the critical importance of measurement approaches in skill mismatch research.

Keywords: Skill mismatch; Measurement; Validation; Occupational skill requirements; Test-based skill mismatch; Statistical approach; Mixed approach; Job analysis approach; Worker assessment approach; Task approach (search for similar items in EconPapers)
JEL-codes: C52 J20 J23 J24 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1186/s12651-024-00370-1 Abstract (text/html)

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:spr:jlabrs:v:58:y:2024:i:1:d:10.1186_s12651-024-00370-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12651

DOI: 10.1186/s12651-024-00370-1

Access Statistics for this article

Journal for Labour Market Research is currently edited by Joachim Möller

More articles in Journal for Labour Market Research from Springer, Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().