A new measure of skill mismatch: theory and evidence from PIAAC
Michele Pellizzari and
Additional contact information
Anne Fichen: University of Geneva
IZA Journal of Labor Economics, 2017, vol. 6, issue 1, 1-30
Abstract This paper proposes a new measure of skill mismatch to be applied to the recent OECD Survey of Adult Skills (PIAAC). The measure is derived from a formal theory and combines information about skill proficiency, self-reported mismatch and skill use. The theoretical foundations underling this measure allow identifying minimum and maximum skill requirements for each occupation and to classify workers into three groups: the well-matched, the under-skilled and the over-skilled. The availability of skill use data further permits the computation of the degree of under- and over-usage of skills in the economy. The empirical analysis is carried out using the first round of the PIAAC data, allowing comparisons across skill domains, labour market statuses and countries.
Keywords: Mismatch; Skills (search for similar items in EconPapers)
JEL-codes: J0 J20 J24 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1186/s40172-016-0051-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:izalbr:v:6:y:2017:i:1:d:10.1186_s40172-016-0051-y
Ordering information: This journal article can be ordered from
Access Statistics for this article
IZA Journal of Labor Economics is currently edited by Joni Hersch and Pierre Cahuc
More articles in IZA Journal of Labor Economics from Springer, Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA)
Bibliographic data for series maintained by Sonal Shukla ().