IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

A New Measure of Skills Mismatch: Theory and Evidence from the Survey of Adult Skills (PIAAC)

  • Michele Pellizzari
  • Anne Fichen

This paper proposes a new measure of skills mismatch that 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 permit the computation of the degree of under and overusage of skills in the economy. The empirical analysis is carried out using the first wave of the OECD Survey of Adult Skills (PIAAC) and the findings are compared across skill domains, labour market status and countries. Ce document présente une nouvelle mesure de l’inadéquation des compétences qui combine des informations sur la maîtrise des compétences, l’inadéquation auto-reportée et l’utilisation des compétences. Les fondements théoriques de cette mesure permettent d’identifier les compétences minimales et maximales requises par chaque profession et de classer les travailleurs en trois groupes : ceux dont les compétences sont bien adaptées, ceux qui ont des compétences inférieures à celles requises et ceux qui ont des compétences supérieures à celles requises. L’existence de données sur l’usage des compétences permet de mesurer le degré de sur- ou de sous-utilisation des compétences dans l’économie. Cette mesure est testée sur la première vague de l’enquête de l’OCDE sur l’évaluation des compétences des adultes ; les résultats sont présentés par domaines de compétences, par statuts sur le marché du travail et par pays.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Our checks indicate that this address may not be valid because: 403 Forbidden ( [303 See Other]--> If this is indeed the case, please notify ()

Download Restriction: no

Paper provided by OECD Publishing in its series OECD Social, Employment and Migration Working Papers with number 153.

in new window

Date of creation: 19 Dec 2013
Date of revision:
Handle: RePEc:oec:elsaab:153-en
Contact details of provider: Postal: 2 rue Andre Pascal, 75775 Paris Cedex 16
Phone: 33-(0)-1-45 24 82 00
Fax: 33-(0)-1-45 24 85 00
Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:oec:elsaab:153-en. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.