Assessment of the Relationship between Labour Force Ageing and the Labour Market in Lithuania in the Context of its Demographic Development

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.

Authors

Institutions

Publication Details

Journal
Socialinė teorija empirija politika ir praktika
Published
2026-11-10
DOI
https://doi.org/10.15388/stepp.2027.34.7
Primary Topic
Retirement, Disability, and Employment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Assessment of the Relationship between Labour Force Ageing and the Labour Market in Lithuania in the Context of its Demographic Development

Emilija Webster, Arūnas Pocius, Laima Okunevičiūtė Neverauskienė
Socialinė teorija empirija politika ir praktika
Retirement, Disability, and Employment
article

Assessment of the Relationship between Labour Force Ageing and the Labour Market in Lithuania in the Context of its Demographic Development

Emilija Webster, Arūnas Pocius, Laima Okunevičiūtė Neverauskienė
article en

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.

Socialinė teorija empirija politika ir praktikaVol. 34
Vilnius Gediminas Technical University (LT), Lithuanian Social Research Centre (LT), Lithuanian Centre for Social Sciences (LT)
Retirement, Disability, and Employment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon