A Task-Based Indicator for Labour Market Mismatch
Nancy Kracke () and
Margarida Rodrigues
Additional contact information
Nancy Kracke: German Centre for Higher Education Research and Science Studies (DZHW)
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2020, vol. 149, issue 2, No 2, 399-421
Abstract:
Abstract This article uses a task-based approach to measure labour market mismatch and to study the wage effects of mismatch. We propose a new indicator—cognitive mismatch—and contrast it with the commonly used overqualification indicator. We argue that considering the tasks performed in each occupation captures more adequately the complexity of job requirements and tackles the major drawbacks of the existing approaches measuring mismatch. Using rich administrative data from the German Sample of Integrated Labour Market Biographies, we find that 4.8% of the total employment episodes are matched in terms of qualification but mismatched in terms of the tasks performed. Fixed Effects models show that the largest wage loss occurs in cases of mismatch in both education level and tasks performed at work. We conclude that each indicator is capturing different facets of mismatch and that they should be used complementarily in labour market mismatch analyses.
Keywords: Occupational skills; Overqualification; Mismatch; Tasks (search for similar items in EconPapers)
JEL-codes: I26 J24 J31 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11205-019-02261-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:soinre:v:149:y:2020:i:2:d:10.1007_s11205-019-02261-2
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11205-019-02261-2
Access Statistics for this article
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement is currently edited by Filomena Maggino
More articles in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().