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Demographic Change and the Future of Austria's Long-Term-Care Allowance: A Dynamic Microsimulation Study
Ulrike Famira-Mühlberger1, Thomas Horvath1, Thomas Leoni2
1Austrian Institute of Economic Research (WIFO), Arsenal, Objekt 20, 1030 Vienna, Austria.
Healthcare (Basel, Switzerland)
|December 11, 2025
Summary
Austria's long-term care allowance (LTCA) expenditure will rise due to aging. However, improved education and health can significantly slow cost increases, showing the value of dynamic microsimulation for LTC planning.
Area of Science:
- Gerontology
- Health Economics
- Social Policy
Background:
- Europe faces demographic shifts straining long-term care (LTC) systems and financing.
- Austria's universal long-term-care allowance (LTCA) is analyzed for expenditure projections.
- Concerns exist regarding the financial sustainability of LTC systems.
Purpose of the Study:
- To project Austria's LTCA expenditure up to 2080 under various future scenarios.
- To analyze the impact of demographic changes, health improvements, and educational attainment on LTCA costs.
- To assess public spending and individual lifetime costs associated with LTC.
Main Methods:
- Dynamic microsimulation model utilized for expenditure projections.
- Data from LTCA statistics and the Survey of Health, Ageing and Retirement in Europe (SHARE) were combined.
- Care needs and prevalence rates were estimated across seven allowance levels, disaggregated by sex and education.
Main Results:
- Total LTCA expenditure is projected to increase due to population aging.
- Compositional shifts, like higher education and improved healthy life expectancy, can mitigate cost growth.
- Expenditure increases range from 29% (neglecting life expectancy gains) to 185% (accounting for life expectancy but no health gains).
Conclusions:
- Dynamic microsimulation effectively captures individual heterogeneity in LTC cost projections.
- Policy implications for LTC planning are significant, highlighting the impact of education and longevity.
- This approach offers advantages over traditional macrosimulation methods for analyzing LTC systems.
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