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  • Есть ли взаимосвязь между сберегательным поведением населения, доверием к финансовым институтам и установками на сбережение в современной России?
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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Есть ли взаимосвязь между сберегательным поведением населения, доверием к финансовым институтам и установками на сбережение в современной России?

Экономическая социология. 2024. Т. 25. № 3. С. 51–100.
Kuzina O. E., Моисеева Д. В.

The paper examines household savings as one of the indicators of household financial fragility/resilience in Russia. The main goal is to reveal the relationship between people’s trust in financial institutions, their saving behavior and their savings attitudes. The study of financial fragility/resilience is important for the development of economic and social policies, especially in relation to those conditions upon which state can work. The study contributes to the existing literature by using Russian micro data and the inclusion of trust in institutions and savings attitudes among the covariates of household savings. The empirical basis of the study is cross-sectional data from all-Russian population surveys collected in 2009–2023. The financial resilience is low due to the fact that only about one third of Russians have savings which amount is rather small. The data also show high levels of distrust towards most socio-political and financial institutions. Based on the principal components method, two latent factors of trust were identified. The first one was related to trust in socio-political institutions, Sberbank and Bank of Russia, Deposit Insurance Agency (DIA) and state-owned banks, the second one included trust in all non-state financial institutions. Regression analysis showed that saving attitudes and both components of trust are positively correlated with savings. Associative rule learning method showed that even in presence of the positive attitude towards savings the most common non-random combinations of answers were lack of savings, distrust towards banks (with the exception of Sberbank), distrust to the Deposit Insurance Agency. Thus, distrust of socio-political and financial institutions is an obstacle to the increase in the amount of savings and financial resilience of Russian households.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Keywords: сбережения населенияфинансовое поведение населениядоверие финансовым институтамhousehold financial behaviortrust in financial institutionsфинансовая неустойчивость домохозяйствсберегательные установкиfinancial fragility of householdssaving attitudeshousehold saving behaviorhousehold savingsfinancial resilience of householdsсберегательное поведение населения
Publication based on the results of:
Russians’ Daily Social Practices under Exogenous Shocks (2024)
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