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International journal of manpower, 2018-11, Vol.39 (8), p.996-1009
2018

Details

Autor(en) / Beteiligte
Titel
Skill mismatch comparing educational requirements vs attainments by occupation
Ist Teil von
  • International journal of manpower, 2018-11, Vol.39 (8), p.996-1009
Ort / Verlag
Bradford: Emerald Publishing Limited
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Purpose The purpose of this paper is to overcome the problems that skill mismatch cannot be measured directly and that demand side data are lacking. It relates demand and supply side characteristics by aggregating data from jobs ads and jobholders into occupations. For these occupations skill mismatch is investigated by focussing on demand and supply ratios, attained vis-à-vis required skills and vacancies’ skill requirements in relation to the demand-supply ratios. Design/methodology/approach Vacancy data from the EURES job portal and jobholder data from WageIndicator web-survey were aggregated by ISCO 4-digit occupations and merged in a database with 279 occupations for Czech Republic, being the only European country with disaggregated occupational data, coded educational data, and sufficient numbers of observations. Findings One fourth of occupations are in excessive demand and one third in excessive supply. The workforce is overeducated compared to the vacancies’ requirements. A high demand correlates with lower educational requirements. At lower occupational skill levels requirements are more condensed, but attainments less so. At higher skill levels, requirements are less condensed, but attainments more so. Educational requirements are lower for high demand occupations. Research limitations/implications Using educational levels is a limited proxy for multidimensional skills. Higher educated jobholders are overrepresented. Practical implications In Europe labour market mismatches worry policy makers and Public Employment Services alike. Originality/value The authors study is the first for Europe to explore such a granulated approach of skill mismatch.
Sprache
Englisch
Identifikatoren
ISSN: 0143-7720
eISSN: 1758-6577
DOI: 10.1108/IJM-10-2018-0328
Titel-ID: cdi_crossref_primary_10_1108_IJM_10_2018_0328

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