Population ageing is a natural process with irreversible consequences. Therefore, it has become an important agenda for economic and social policy. It requires the development and practical implementation of new tools for the integrated assessment of the main aspects of the elderly generation economic and social well-being. We account for over 50 years of active academic research work in the area of enhanced elderly population's wellbeing assessment as a complex socio-economic phenomenon. The phenomenon may comprise a number of components for evaluation on the basis of both quantitative objective criteria and qualitative subjective criteria. The paper addresses the question of using composite indices such as the AgeWatch Index and the Active Ageing Index for assessing the well-being of the elderly generation in the Russian Federation. The authors also debate the issue of the availability and comparability of the existing data for the Active Ageing Index calculation for Russia. The scope of the analysis falls within national Russian statistical databases in order to determine the possibility of the correct choice of relevant indicators from the sources available for the AAI calculation according to its original methodology.
This research paper analyzes the existing forms of statistical surveys and indicators in Russia which could be associated with estimating the objective component of well-being of the elderly population. Also, it focused on identifying the possible statistics time depth for indicators evaluation in the study area. The article determines the scope of objective indicators in the Russian statistics and draws a profile on older people's quality of life in the Tomsk region for the period 2011-2014 on the bases of regional statistical data.
The paper studies the loneliness phenomenon as a systemic problem of economic, social and emotional wellbeing of elderly people. The aim of this paper is to substantiate the modeling methodology of loneliness among elderly people, show the structure and content of its vision model. Loneliness is viewed as a systemic problem related to the daily practices of the elderly person, his well-being or disadvantage in the economic, social and emotional aspects. The authors propose the level search model for studying the loneliness phenomenon and consider its practical use in the evaluation of singlehood among elderly people. Methodological principles are identified to trace a connection between the inner and outer nature of singlehood.
As a multi-faceted process population aging generates various socio-economic and psycho-physiological challenges and significantly influences the government socio-economic policy. It requires the development and practical application of new assessment tools based on the economic and sociological data statistics to describe the current state of the society specifying variables and indicators relevant to the measurement and management of the main aspects of older people well-being. The article presents a comparative analysis of methods to assess such complex socio-economic and psycho-physiological phenomena as the elderly population's well-being. The study focuses on the research trends in the development of the elderly population well-being evaluation tools and composite indices as well-being of older people assessment techniques. The paper addresses the evolution of the concept "well-being of the elderly population" together with the evolution of the term "well-being" itself with the latter one closely connected to the concept of human development. The authors draw on the causes of interest for comparative assessment methodologies of the well-being of elderly generation against the backdrop of the global trends of demographic aging of the world population. As assessment tools joining a set of objective and subjective indicators in one evaluation scale, composite indices are researched as comparative methods for the purpose of well-being analysis. They are described in terms of their decomposition into domains and indicators. Finally, the paper formulates the principles of development of the Russian Elderly Well-being Index and analyses the possible domains for the elderly population well-being assessment.
Although Russia manifests some dynamics in its national policy on ageing, it still lacks comprehensive tools for the older generation wellbeing assessment both on national and regional levels. This research work is an ongoing project aimed at the development of the composite index (composite indicator) to assess the elderly population wellbeing in Russia for cross-regional comparison to equip Russian policy-makers with an essential tool and relevant reliable data to facilitate the decision-making and policy design at national, regional and local levels. The paper discusses the possibility of selecting relevant data from the pool of the official state statistics indicators to assess the elderly generation's wellbeing in 85 regions of the Russian Federation by four index domains (economic, social, health and regional environment dimensions). Due to a high geographical and territorial heterogeneity, this index can be advised to be adopted as a potential tool to monitor wellbeing across Russian regions with the focus on policy development for macro-regions. This grouping of regions can minimize transaction costs of bargaining on behalf of the 85 regions while developing national policies and strategies. The paper employs the Russian Elderly Wellbeing Index (REWI) to compare calculation results for 2014 and 2016 as well as addresses the issue of elderly population wellbeing analysis on the meso level in the context of federal districts. The authors run cluster analysis for the REWI indicators to compare clusters of Russian regions and federal districts.
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