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https://doi.org/10.12758/mda.2014.006

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How can skill mismatch be measured? New approaches with PIAAC

Wie kann man Skill-Mismatch messen? Neue Ansätze mit PIAAC
[journal article]

Perry, Anja
Wiederhold, Simon
Ackermann-Piek, Daniela

Abstract

"Measuring skill mismatch is problematic, because objective data on an individual skill level are often not available. Recently published data from the Program for the International Assessment of Adult Competencies (PIAAC) provide a unique opportunity for gauging the importance of skill mismatch in ... view more

"Measuring skill mismatch is problematic, because objective data on an individual skill level are often not available. Recently published data from the Program for the International Assessment of Adult Competencies (PIAAC) provide a unique opportunity for gauging the importance of skill mismatch in modern labor markets. This paper systematically compares existing measures of skill mismatch in terms of their implications for labor market outcomes. We also provide a new measure that addresses an important limitation of existing measures, namely, assigning a single competency score to individuals. We find that the importance of skill mismatch for individual earnings differs greatly, depending on the measure of mismatch used." (author's abstract)... view less

Keywords
international comparison; qualification; measurement; validity; data capture; mismatch; labor market

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Labor Market Research

Free Keywords
PIAAC; Job Requirement Approach

Document language
English

Publication Year
2014

Page/Pages
p. 137-174

Journal
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 8 (2014) 2

Issue topic
The implementation of PIAAC in Germany

ISSN
2190-4936

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.