Life course heterogeneity and the future labour force – A dynamic microsimulation analysis for Austria

Using Austria as a case study, this paper demonstrates how capturing life course heterogeneity improves the accuracy and policy relevance of socio-demographic projections, and how considering this population heterogeneity impacts labour force dynamics and economic dependency ratios. We introduce and apply the microsimulation model microDEMS, focusing on education, migration background, health and labour market participation. Using administrative data, the model ensures longitudinal consistency of labour market careers, including insurance periods, and considers pension rules and reforms. Despite its level of detail, microDEMS is consistent with official demographic projections. To assess sensitivity, we create alternative scenarios that illustrate how different factors affect future labour force dynamics. The main result of our simulation analysis is the quantification of substantial mitigating effects of improvements in education and already adopted changes in pension legislation, which together reduce the impact of ageing on the economic dependency ratio by 55%.

Authors

Publication Details

Journal
Vienna Yearbook of Population Research
Published
2025-03-20
DOI
https://doi.org/10.1553/p-35zm-55f2
Citations
2
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
4.21

Funders

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article

Life course heterogeneity and the future labour force – A dynamic microsimulation analysis for Austria

Martin Spielauer, Philipp Warum, Thomas Horvath
2 citations
Vienna Yearbook of Population Research
demographic modeling and climate adaptation
4.21
article

Life course heterogeneity and the future labour force – A dynamic microsimulation analysis for Austria

Martin Spielauer, Philipp Warum, Thomas Horvath
article en
2 citations

Abstract

Using Austria as a case study, this paper demonstrates how capturing life course heterogeneity improves the accuracy and policy relevance of socio-demographic projections, and how considering this population heterogeneity impacts labour force dynamics and economic dependency ratios. We introduce and apply the microsimulation model microDEMS, focusing on education, migration background, health and labour market participation. Using administrative data, the model ensures longitudinal consistency of labour market careers, including insurance periods, and considers pension rules and reforms. Despite its level of detail, microDEMS is consistent with official demographic projections. To assess sensitivity, we create alternative scenarios that illustrate how different factors affect future labour force dynamics. The main result of our simulation analysis is the quantification of substantial mitigating effects of improvements in education and already adopted changes in pension legislation, which together reduce the impact of ageing on the economic dependency ratio by 55%.

Vienna Yearbook of Population ResearchVol. 23
Government of the United Kingdom, European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 7%
demographic modeling and climate adaptation
4.21
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