Assessment of the Relationship between Labour Force Ageing and the Labour Market in Lithuania in the Context of its Demographic Development
Articles
Laima Okunevičiūtė Neverauskienė
Lithuanian Social Research Centre image/svg+xml
Arūnas Pocius
Lithuanian Centre for Social Sciences image/svg+xml
Emilija Webster
Lithuanian Centre for Social Sciences image/svg+xml
Vilnius Gediminas Technical University image/svg+xml
Published 2026-11-10
https://doi.org/10.15388/STEPP.2027.34.7
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Keywords

unemployment
employment
labour force
resilience in the labour market
population ageing
demographic change

How to Cite

Okunevičiūtė Neverauskienė, L., Pocius, A., & Webster, E. (2026). Assessment of the Relationship between Labour Force Ageing and the Labour Market in Lithuania in the Context of its Demographic Development. Socialinė Teorija, Empirija, Politika Ir Praktika, 34, 113-141. https://doi.org/10.15388/STEPP.2027.34.7

Abstract

This study seeks to assess the relationship between population ageing in Lithuania and developments in the labour market. In analysing labour-resource dynamics and ageing-related demographic trends, the article prioritises an evaluation of the absolute and relative changes in the number of individuals of working age and older persons. To characterise the issue in greater depth, the publication also employs additional indicators associated with population (labour-force) ageing, including the demographic old-age coefficient and the median age. The link between population ageing and labour-market outcomes is further reflected through specific statistical indicators used in the analysis, such as the average age of employed persons and the average age of those exiting employment, derived from the Labour Force Survey data. A further priority of the study is to assess differences in labour-market integration opportunities for more vulnerable target groups in Lithuania, namely, for older people and for young people. By using correlation-regression analysis, the publication also examines the relationship between economic development (GDP) and labour-market conditions across the EU countries, while focusing on two demographically contrasting age groups: youth and older persons. Accordingly, the analysis does not rely solely on national statistics but, additionally, incorporates Eurostat data and comparative data from other Baltic States.

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Author contributions (CRediT)

  • Laima Okunevičiūtė Neverauskienė: Conceptualization, Data Curation, Investigation, Methodology, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing
  • Arūnas Pocius: Conceptualization, Methodology, Formal Analysis, Writing – Review & Editing
  • Emilija Webster: Writing – Review & Editing, Visualization

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