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Article
Publication date: 5 November 2018

Kea Tijdens, Miroslav Beblavý and Anna Thum-Thysen

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…

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Abstract

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.

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Article
Publication date: 7 March 2016

Miroslav Beblavý, Lucia Mýtna Kureková and Corina Haita

The purpose of this paper is to learn more about demand for competences is crucial for revealing the complex relationship between employee selection, different strands of…

971

Abstract

Purpose

The purpose of this paper is to learn more about demand for competences is crucial for revealing the complex relationship between employee selection, different strands of education and training and labor market regulation.

Design/methodology/approach

Content analysis and statistics of job advertisements.

Findings

Employer skills requirements even for low- and medium-skilled jobs are highly specific. Formal education requirements are higher than they “should” be. No detectable “basic package” of general cognitive skills for low- and medium-skilled jobs was found. Employer demand focusses on non-cognitive skills and specific cognitive skills. Specificity of skill requirement across different sectors or occupation groups differs vastly between different types of low- and medium-skilled jobs and is linked to the interactive nature of the job, not to the qualifications or the experience required.

Research limitations/implications

The analysis can be considered an initial feasibility test for a larger comparative cross-country project that would aim to understand labor demand in different EU countries.

Practical implications

The analysis could be used as input in designing labor market policy and life-long learning programs to integrate low-skilled and unemployed.

Social implications

The research provides a tool to match disadvantaged workers to jobs for which they possess greater capabilities or to help them develop crucial skills for a given occupation.

Originality/value

This paper contributes to the HRM literature with a more demand-led approach to labor market policy. The authors reveal what role skills and upskilling can play in alleviating the problem of unemployment. The results can be useful for HR specialists and policy makers.

Details

Personnel Review, vol. 45 no. 2
Type: Research Article
ISSN: 0048-3486

Keywords

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Article
Publication date: 1 February 2016

24

Abstract

Details

Personnel Review, vol. 45 no. 1
Type: Research Article
ISSN: 0048-3486

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