Ekonomická fakulta UMB
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Prehliadanie Ekonomická fakulta UMB podľa Predmet "Active Ageing Index"
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Položka Employments of older adults in Slovak regions: analysis of gender and educational differences in the context of the active ageing(Vysoká škola ekonomická : Praha, 2025) Ivančíková, Ľudmila; Kaščáková, Alena; Seberíni, AndreaThis study analyzes employment patterns among older adults across Slovak regions, focusing on gender and educational disparities within the Active Ageing Index framework. Building upon previous research that identified significant regional variations in active ageing, with Bratislava and Banská Bystrica regions outperforming eastern Slovak regions, this analysis examines the employment domain of the Active Ageing Index using current national data. The study investigates how gender and educational differences affect employment rates among individuals aged 55-74 years across Slovak regions. Results demonstrate a substantial gender gap disadvantaging women, which intensifies in regions with lower overall active ageing levels. Analysis reveals a strong positive correlation between educational attainment and older adults' labor market participation. Regional variations in organizational practices and employment policies create distinct barriers to older adult employment. The research identifies economic implications of low older adult employment rates, including increased social service demands and underutilized human capital. Findings indicate the need for targeted interventions including skills retraining programs, mentoring initiatives, and flexible employment models tailored to regional specificities. This research provides empirical evidence for developing region-specific employment strategies that address the heterogeneous educational backgrounds and persistent gender disparities among the older Slovak population.Položka Weights refinement for the Active Ageing Index(Vysoká škola ekonomická : Praha, 2025) Hužvár, Miroslav; Rigová, ZuzanaThe Active Ageing Index (AAI) is a composite measure designed to assess the potential of older individuals for active and healthy participation in society. It comprises 22 individual indicators, categorized into four domains. Each domain has a corresponding sub-index, calculated as a weighted mean of its indicators, while the overall AAI is determined as a weighted average of the four sub-indices. Initially, a panel of experts established the relative importance of the indicators and domains, expressed through implicit weights. To mitigate discrepancies arising from variations in indicator magnitudes, explicit weights were derived. Despite significant changes in some indicators over time, the explicit weights remained unchanged across all AAI editions for European countries. This prompted us to develop an optimization program to refine explicit weights based on current indicator data. The revised weights aim to minimize differences between individual indicators’ contributions to the AAI and expert recommendations. This approach can be applied at both national and subnational levels for more precise AAI calculations.